Overview

Brought to you by YData

Dataset statistics

Number of variables62
Number of observations40436
Missing cells31827
Missing cells (%)1.3%
Total size in memory19.1 MiB
Average record size in memory496.0 B

Variable types

Text62

Alerts

url has 409 (1.0%) missing valuesMissing
timedelta has 442 (1.1%) missing valuesMissing
n_tokens_title has 460 (1.1%) missing valuesMissing
n_tokens_content has 473 (1.2%) missing valuesMissing
n_unique_tokens has 451 (1.1%) missing valuesMissing
n_non_stop_words has 459 (1.1%) missing valuesMissing
n_non_stop_unique_tokens has 480 (1.2%) missing valuesMissing
num_hrefs has 450 (1.1%) missing valuesMissing
num_self_hrefs has 448 (1.1%) missing valuesMissing
num_imgs has 456 (1.1%) missing valuesMissing
num_videos has 449 (1.1%) missing valuesMissing
average_token_length has 405 (1.0%) missing valuesMissing
num_keywords has 455 (1.1%) missing valuesMissing
data_channel_is_lifestyle has 475 (1.2%) missing valuesMissing
data_channel_is_entertainment has 485 (1.2%) missing valuesMissing
data_channel_is_bus has 407 (1.0%) missing valuesMissing
data_channel_is_socmed has 492 (1.2%) missing valuesMissing
data_channel_is_tech has 443 (1.1%) missing valuesMissing
data_channel_is_world has 452 (1.1%) missing valuesMissing
kw_min_min has 452 (1.1%) missing valuesMissing
kw_max_min has 464 (1.1%) missing valuesMissing
kw_avg_min has 471 (1.2%) missing valuesMissing
kw_min_max has 441 (1.1%) missing valuesMissing
kw_max_max has 405 (1.0%) missing valuesMissing
kw_avg_max has 478 (1.2%) missing valuesMissing
kw_min_avg has 432 (1.1%) missing valuesMissing
kw_max_avg has 440 (1.1%) missing valuesMissing
self_reference_min_shares has 439 (1.1%) missing valuesMissing
self_reference_max_shares has 464 (1.1%) missing valuesMissing
self_reference_avg_sharess has 466 (1.2%) missing valuesMissing
weekday_is_monday has 459 (1.1%) missing valuesMissing
weekday_is_tuesday has 459 (1.1%) missing valuesMissing
weekday_is_wednesday has 421 (1.0%) missing valuesMissing
weekday_is_thursday has 459 (1.1%) missing valuesMissing
weekday_is_friday has 429 (1.1%) missing valuesMissing
weekday_is_saturday has 456 (1.1%) missing valuesMissing
weekday_is_sunday has 470 (1.2%) missing valuesMissing
is_weekend has 467 (1.2%) missing valuesMissing
LDA_00 has 491 (1.2%) missing valuesMissing
LDA_01 has 454 (1.1%) missing valuesMissing
LDA_02 has 483 (1.2%) missing valuesMissing
LDA_03 has 447 (1.1%) missing valuesMissing
LDA_04 has 456 (1.1%) missing valuesMissing
global_subjectivity has 437 (1.1%) missing valuesMissing
global_sentiment_polarity has 440 (1.1%) missing valuesMissing
global_rate_positive_words has 445 (1.1%) missing valuesMissing
global_rate_negative_words has 488 (1.2%) missing valuesMissing
rate_positive_words has 453 (1.1%) missing valuesMissing
rate_negative_words has 480 (1.2%) missing valuesMissing
avg_positive_polarity has 458 (1.1%) missing valuesMissing
min_positive_polarity has 483 (1.2%) missing valuesMissing
max_positive_polarity has 457 (1.1%) missing valuesMissing
avg_negative_polarity has 461 (1.1%) missing valuesMissing
min_negative_polarity has 460 (1.1%) missing valuesMissing
max_negative_polarity has 440 (1.1%) missing valuesMissing
title_subjectivity has 453 (1.1%) missing valuesMissing
title_sentiment_polarity has 486 (1.2%) missing valuesMissing
abs_title_subjectivity has 475 (1.2%) missing valuesMissing
abs_title_sentiment_polarity has 455 (1.1%) missing valuesMissing
shares has 487 (1.2%) missing valuesMissing
mixed_type_col has 4074 (10.1%) missing valuesMissing

Reproduction

Analysis started2025-10-29 03:31:27.048599
Analysis finished2025-10-29 03:31:31.474417
Duration4.43 seconds
Software versionydata-profiling vv4.17.0
Download configurationconfig.json

Variables

url
Text

Missing 

Distinct39313
Distinct (%)98.2%
Missing409
Missing (%)1.0%
Memory size316.0 KiB
2025-10-28T21:31:31.636846image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length192
Median length115
Mean length57.67209633
Min length5

Characters and Unicode

Total characters2308441
Distinct characters68
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38614 ?
Unique (%)96.5%

Sample

1st rowhttp://mashable.com/2013/01/07/amazon-instant-video-browser/
2nd rowhttp://mashable.com/2013/01/07/ap-samsung-sponsored-tweets/
3rd rowhttp://mashable.com/2013/01/07/apple-40-billion-app-downloads/
4th rowhttp://mashable.com/2013/01/07/astronaut-notre-dame-bcs/
5th rowhttp://mashable.com/2013/01/07/att-u-verse-apps/
ValueCountFrequency (%)
nan17
 
< 0.1%
http://mashable.com/2013/10/07/music-monday-government-shutdown2
 
< 0.1%
http://mashable.com/2013/10/21/lock-to-stop-school-shooters2
 
< 0.1%
http://mashable.com/2014/08/27/oberon-plane-audio-hijacking2
 
< 0.1%
http://mashable.com/2013/01/24/dad-art-kids-lunch2
 
< 0.1%
http://mashable.com/2014/05/13/google-forgotten-ruling-europe2
 
< 0.1%
http://mashable.com/2013/07/22/dennis-farina-dead2
 
< 0.1%
http://mashable.com/2013/10/06/twitter-users-comic2
 
< 0.1%
http://mashable.com/2013/07/22/earth-saturn-nasa-cassini2
 
< 0.1%
http://mashable.com/2014/12/04/apple-deleted-ipod-songs2
 
< 0.1%
Other values (39226)39992
99.9%
2025-10-28T21:31:31.936803image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/280070
 
12.1%
a151025
 
6.5%
t134714
 
5.8%
e129720
 
5.6%
-122206
 
5.3%
o103139
 
4.5%
m102641
 
4.4%
s101727
 
4.4%
h99001
 
4.3%
091445
 
4.0%
Other values (58)992753
43.0%

Most occurring categories

ValueCountFrequency (%)
(unknown)2308441
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
/280070
 
12.1%
a151025
 
6.5%
t134714
 
5.8%
e129720
 
5.6%
-122206
 
5.3%
o103139
 
4.5%
m102641
 
4.4%
s101727
 
4.4%
h99001
 
4.3%
091445
 
4.0%
Other values (58)992753
43.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown)2308441
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
/280070
 
12.1%
a151025
 
6.5%
t134714
 
5.8%
e129720
 
5.6%
-122206
 
5.3%
o103139
 
4.5%
m102641
 
4.4%
s101727
 
4.4%
h99001
 
4.3%
091445
 
4.0%
Other values (58)992753
43.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown)2308441
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
/280070
 
12.1%
a151025
 
6.5%
t134714
 
5.8%
e129720
 
5.6%
-122206
 
5.3%
o103139
 
4.5%
m102641
 
4.4%
s101727
 
4.4%
h99001
 
4.3%
091445
 
4.0%
Other values (58)992753
43.0%

timedelta
Text

Missing 

Distinct1677
Distinct (%)4.2%
Missing442
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:32.304690image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length4.959618943
Min length1

Characters and Unicode

Total characters198355
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique435 ?
Unique (%)1.1%

Sample

1st row731.0
2nd row731.0
3rd row731.0
4th row731.0
5th row731.0
ValueCountFrequency (%)
84.0102
 
0.3%
91.0102
 
0.3%
72.0100
 
0.3%
59.099
 
0.2%
210.099
 
0.2%
182.097
 
0.2%
37.096
 
0.2%
29.096
 
0.2%
28.095
 
0.2%
52.095
 
0.2%
Other values (1024)39013
97.5%
2025-10-28T21:31:32.758889image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
047689
24.0%
.39839
20.1%
114704
 
7.4%
214116
 
7.1%
613202
 
6.7%
313007
 
6.6%
512876
 
6.5%
412686
 
6.4%
79811
 
4.9%
97862
 
4.0%
Other values (23)12563
 
6.3%

Most occurring categories

ValueCountFrequency (%)
(unknown)198355
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
047689
24.0%
.39839
20.1%
114704
 
7.4%
214116
 
7.1%
613202
 
6.7%
313007
 
6.6%
512876
 
6.5%
412686
 
6.4%
79811
 
4.9%
97862
 
4.0%
Other values (23)12563
 
6.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown)198355
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
047689
24.0%
.39839
20.1%
114704
 
7.4%
214116
 
7.1%
613202
 
6.7%
313007
 
6.6%
512876
 
6.5%
412686
 
6.4%
79811
 
4.9%
97862
 
4.0%
Other values (23)12563
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown)198355
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
047689
24.0%
.39839
20.1%
114704
 
7.4%
214116
 
7.1%
613202
 
6.7%
313007
 
6.6%
512876
 
6.5%
412686
 
6.4%
79811
 
4.9%
97862
 
4.0%
Other values (23)12563
 
6.3%

n_tokens_title
Text

Missing 

Distinct363
Distinct (%)0.9%
Missing460
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:32.888976image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length3.767685611
Min length1

Characters and Unicode

Total characters150617
Distinct characters29
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique259 ?
Unique (%)0.6%

Sample

1st row12.0
2nd row9.0
3rd row9.0
4th row9.0
5th row13.0
ValueCountFrequency (%)
10.07330
18.3%
11.06912
17.3%
9.06251
15.6%
12.05269
13.2%
8.04213
10.5%
13.03477
8.7%
7.02103
 
5.3%
14.01718
 
4.3%
6.0796
 
2.0%
15.0741
 
1.9%
Other values (329)1166
 
2.9%
2025-10-28T21:31:33.087188image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
047281
31.4%
.39822
26.4%
132863
21.8%
96364
 
4.2%
25397
 
3.6%
84369
 
2.9%
3862
 
2.6%
33606
 
2.4%
72299
 
1.5%
41869
 
1.2%
Other values (19)2885
 
1.9%

Most occurring categories

ValueCountFrequency (%)
(unknown)150617
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
047281
31.4%
.39822
26.4%
132863
21.8%
96364
 
4.2%
25397
 
3.6%
84369
 
2.9%
3862
 
2.6%
33606
 
2.4%
72299
 
1.5%
41869
 
1.2%
Other values (19)2885
 
1.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown)150617
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
047281
31.4%
.39822
26.4%
132863
21.8%
96364
 
4.2%
25397
 
3.6%
84369
 
2.9%
3862
 
2.6%
33606
 
2.4%
72299
 
1.5%
41869
 
1.2%
Other values (19)2885
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown)150617
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
047281
31.4%
.39822
26.4%
132863
21.8%
96364
 
4.2%
25397
 
3.6%
84369
 
2.9%
3862
 
2.6%
33606
 
2.4%
72299
 
1.5%
41869
 
1.2%
Other values (19)2885
 
1.9%

n_tokens_content
Text

Missing 

Distinct3509
Distinct (%)8.8%
Missing473
Missing (%)1.2%
Memory size316.0 KiB
2025-10-28T21:31:33.404790image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length5.156719966
Min length1

Characters and Unicode

Total characters206078
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1187 ?
Unique (%)3.0%

Sample

1st row219.0
2nd row255.0
3rd row211.0
4th row531.0
5th row1072.0
ValueCountFrequency (%)
0.01179
 
3.0%
286.0100
 
0.3%
225.087
 
0.2%
335.086
 
0.2%
242.085
 
0.2%
301.083
 
0.2%
279.082
 
0.2%
246.082
 
0.2%
294.081
 
0.2%
318.080
 
0.2%
Other values (2581)38018
95.1%
2025-10-28T21:31:33.797995image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
050070
24.3%
.39805
19.3%
118067
 
8.8%
215835
 
7.7%
314224
 
6.9%
412271
 
6.0%
511550
 
5.6%
610554
 
5.1%
710064
 
4.9%
89571
 
4.6%
Other values (23)14067
 
6.8%

Most occurring categories

ValueCountFrequency (%)
(unknown)206078
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
050070
24.3%
.39805
19.3%
118067
 
8.8%
215835
 
7.7%
314224
 
6.9%
412271
 
6.0%
511550
 
5.6%
610554
 
5.1%
710064
 
4.9%
89571
 
4.6%
Other values (23)14067
 
6.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown)206078
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
050070
24.3%
.39805
19.3%
118067
 
8.8%
215835
 
7.7%
314224
 
6.9%
412271
 
6.0%
511550
 
5.6%
610554
 
5.1%
710064
 
4.9%
89571
 
4.6%
Other values (23)14067
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown)206078
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
050070
24.3%
.39805
19.3%
118067
 
8.8%
215835
 
7.7%
314224
 
6.9%
412271
 
6.0%
511550
 
5.6%
610554
 
5.1%
710064
 
4.9%
89571
 
4.6%
Other values (23)14067
 
6.8%

n_unique_tokens
Text

Missing 

Distinct28030
Distinct (%)70.1%
Missing451
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:33.980210image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length13.63901463
Min length1

Characters and Unicode

Total characters545356
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21336 ?
Unique (%)53.4%

Sample

1st row0.663594466988
2nd row0.604743080614
3rd row0.575129530699
4th row0.503787877834
5th row0.41564561695
ValueCountFrequency (%)
0.01181
 
3.0%
45
 
0.1%
error44
 
0.1%
invalid41
 
0.1%
nan16
 
< 0.1%
0.66666666313911
 
< 0.1%
0.6403940855159
 
< 0.1%
0.6569767403669
 
< 0.1%
0.5520833318968
 
< 0.1%
0.6425120741918
 
< 0.1%
Other values (27197)38613
96.6%
2025-10-28T21:31:34.424445image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
076455
14.0%
557262
10.5%
452965
9.7%
651484
9.4%
946528
8.5%
344958
8.2%
744426
8.1%
842539
7.8%
242209
7.7%
142119
7.7%
Other values (23)44411
8.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)545356
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
076455
14.0%
557262
10.5%
452965
9.7%
651484
9.4%
946528
8.5%
344958
8.2%
744426
8.1%
842539
7.8%
242209
7.7%
142119
7.7%
Other values (23)44411
8.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)545356
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
076455
14.0%
557262
10.5%
452965
9.7%
651484
9.4%
946528
8.5%
344958
8.2%
744426
8.1%
842539
7.8%
242209
7.7%
142119
7.7%
Other values (23)44411
8.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)545356
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
076455
14.0%
557262
10.5%
452965
9.7%
651484
9.4%
946528
8.5%
344958
8.2%
744426
8.1%
842539
7.8%
242209
7.7%
142119
7.7%
Other values (23)44411
8.1%

n_non_stop_words
Text

Missing 

Distinct2542
Distinct (%)6.4%
Missing459
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:34.587447image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length13.64769743
Min length1

Characters and Unicode

Total characters545594
Distinct characters29
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique839 ?
Unique (%)2.1%

Sample

1st row0.999999992308
2nd row0.999999993289
3rd row0.999999991597
4th row0.999999996904
5th row0.999999998565
ValueCountFrequency (%)
0.01177
 
2.9%
0.999999994652135
 
0.3%
0.999999994186134
 
0.3%
0.99999999359132
 
0.3%
0.999999992308131
 
0.3%
0.999999992806129
 
0.3%
0.99999999375128
 
0.3%
0.999999992248128
 
0.3%
0.999999993289125
 
0.3%
0.999999993243124
 
0.3%
Other values (1861)37634
94.1%
2025-10-28T21:31:34.851172image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9318955
58.5%
049126
 
9.0%
.39855
 
7.3%
821514
 
3.9%
518709
 
3.4%
718586
 
3.4%
617571
 
3.2%
415123
 
2.8%
314875
 
2.7%
113586
 
2.5%
Other values (19)17694
 
3.2%

Most occurring categories

ValueCountFrequency (%)
(unknown)545594
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9318955
58.5%
049126
 
9.0%
.39855
 
7.3%
821514
 
3.9%
518709
 
3.4%
718586
 
3.4%
617571
 
3.2%
415123
 
2.8%
314875
 
2.7%
113586
 
2.5%
Other values (19)17694
 
3.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown)545594
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9318955
58.5%
049126
 
9.0%
.39855
 
7.3%
821514
 
3.9%
518709
 
3.4%
718586
 
3.4%
617571
 
3.2%
415123
 
2.8%
314875
 
2.7%
113586
 
2.5%
Other values (19)17694
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown)545594
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9318955
58.5%
049126
 
9.0%
.39855
 
7.3%
821514
 
3.9%
518709
 
3.4%
718586
 
3.4%
617571
 
3.2%
415123
 
2.8%
314875
 
2.7%
113586
 
2.5%
Other values (19)17694
 
3.2%
Distinct24007
Distinct (%)60.1%
Missing480
Missing (%)1.2%
Memory size316.0 KiB
2025-10-28T21:31:35.043311image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length13.63850235
Min length1

Characters and Unicode

Total characters544940
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16866 ?
Unique (%)42.2%

Sample

1st row0.815384609112
2nd row0.79194630341
3rd row0.66386554064
4th row0.665634672862
5th row0.540889525766
ValueCountFrequency (%)
0.01174
 
2.9%
error50
 
0.1%
44
 
0.1%
invalid32
 
0.1%
nan24
 
0.1%
0.82442747462313
 
< 0.1%
0.85567009427113
 
< 0.1%
0.70786516456312
 
< 0.1%
0.76562499401912
 
< 0.1%
0.81553397266512
 
< 0.1%
Other values (22916)38570
96.5%
2025-10-28T21:31:35.314809image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
075543
13.9%
657717
10.6%
755920
10.3%
948880
9.0%
846509
8.5%
546123
8.5%
443323
8.0%
342608
7.8%
241982
7.7%
141786
7.7%
Other values (23)44549
8.2%

Most occurring categories

ValueCountFrequency (%)
(unknown)544940
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
075543
13.9%
657717
10.6%
755920
10.3%
948880
9.0%
846509
8.5%
546123
8.5%
443323
8.0%
342608
7.8%
241982
7.7%
141786
7.7%
Other values (23)44549
8.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown)544940
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
075543
13.9%
657717
10.6%
755920
10.3%
948880
9.0%
846509
8.5%
546123
8.5%
443323
8.0%
342608
7.8%
241982
7.7%
141786
7.7%
Other values (23)44549
8.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown)544940
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
075543
13.9%
657717
10.6%
755920
10.3%
948880
9.0%
846509
8.5%
546123
8.5%
443323
8.0%
342608
7.8%
241982
7.7%
141786
7.7%
Other values (23)44549
8.2%

num_hrefs
Text

Missing 

Distinct526
Distinct (%)1.3%
Missing450
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:35.556523image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.514179963
Min length1

Characters and Unicode

Total characters140518
Distinct characters30
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique309 ?
Unique (%)0.8%

Sample

1st row4.0
2nd row3.0
3rd row3.0
4th row9.0
5th row19.0
ValueCountFrequency (%)
4.03445
 
8.6%
5.03430
 
8.6%
6.03155
 
7.9%
3.02852
 
7.1%
7.02751
 
6.9%
8.02251
 
5.6%
9.01988
 
5.0%
2.01827
 
4.6%
10.01724
 
4.3%
11.01428
 
3.6%
Other values (439)15135
37.9%
2025-10-28T21:31:35.885203image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
043813
31.2%
.39839
28.4%
113250
 
9.4%
27341
 
5.2%
35938
 
4.2%
45513
 
3.9%
55172
 
3.7%
64553
 
3.2%
4052
 
2.9%
74014
 
2.9%
Other values (20)7033
 
5.0%

Most occurring categories

ValueCountFrequency (%)
(unknown)140518
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
043813
31.2%
.39839
28.4%
113250
 
9.4%
27341
 
5.2%
35938
 
4.2%
45513
 
3.9%
55172
 
3.7%
64553
 
3.2%
4052
 
2.9%
74014
 
2.9%
Other values (20)7033
 
5.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown)140518
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
043813
31.2%
.39839
28.4%
113250
 
9.4%
27341
 
5.2%
35938
 
4.2%
45513
 
3.9%
55172
 
3.7%
64553
 
3.2%
4052
 
2.9%
74014
 
2.9%
Other values (20)7033
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown)140518
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
043813
31.2%
.39839
28.4%
113250
 
9.4%
27341
 
5.2%
35938
 
4.2%
45513
 
3.9%
55172
 
3.7%
64553
 
3.2%
4052
 
2.9%
74014
 
2.9%
Other values (20)7033
 
5.0%

num_self_hrefs
Text

Missing 

Distinct379
Distinct (%)0.9%
Missing448
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:36.062390image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.165174552
Min length1

Characters and Unicode

Total characters126569
Distinct characters32
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique249 ?
Unique (%)0.6%

Sample

1st row2.0
2nd row1.0
3rd row1.0
4th row0.0
5th row19.0
ValueCountFrequency (%)
2.07576
18.9%
1.06743
16.9%
3.06557
16.4%
0.05357
13.4%
4.04584
11.5%
5.02915
 
7.3%
6.01836
 
4.6%
7.01125
 
2.8%
8.0674
 
1.7%
9.0451
 
1.1%
Other values (334)2170
 
5.4%
2025-10-28T21:31:36.334148image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
045698
36.1%
.39828
31.5%
18386
 
6.6%
28241
 
6.5%
36941
 
5.5%
44826
 
3.8%
4092
 
3.2%
53128
 
2.5%
62028
 
1.6%
71260
 
1.0%
Other values (22)2141
 
1.7%

Most occurring categories

ValueCountFrequency (%)
(unknown)126569
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
045698
36.1%
.39828
31.5%
18386
 
6.6%
28241
 
6.5%
36941
 
5.5%
44826
 
3.8%
4092
 
3.2%
53128
 
2.5%
62028
 
1.6%
71260
 
1.0%
Other values (22)2141
 
1.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown)126569
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
045698
36.1%
.39828
31.5%
18386
 
6.6%
28241
 
6.5%
36941
 
5.5%
44826
 
3.8%
4092
 
3.2%
53128
 
2.5%
62028
 
1.6%
71260
 
1.0%
Other values (22)2141
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown)126569
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
045698
36.1%
.39828
31.5%
18386
 
6.6%
28241
 
6.5%
36941
 
5.5%
44826
 
3.8%
4092
 
3.2%
53128
 
2.5%
62028
 
1.6%
71260
 
1.0%
Other values (22)2141
 
1.7%

num_imgs
Text

Missing 

Distinct390
Distinct (%)1.0%
Missing456
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:36.494233image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.299574787
Min length1

Characters and Unicode

Total characters131917
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique222 ?
Unique (%)0.6%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row20.0
ValueCountFrequency (%)
1.018017
45.1%
0.06988
 
17.5%
2.02966
 
7.4%
3.01220
 
3.1%
11.01131
 
2.8%
10.0850
 
2.1%
4.0665
 
1.7%
12.0606
 
1.5%
6.0568
 
1.4%
9.0537
 
1.3%
Other values (314)6432
 
16.1%
2025-10-28T21:31:36.750502image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
048224
36.6%
.39840
30.2%
124662
18.7%
25264
 
4.0%
4028
 
3.1%
32501
 
1.9%
51475
 
1.1%
41396
 
1.1%
61305
 
1.0%
8887
 
0.7%
Other values (23)2335
 
1.8%

Most occurring categories

ValueCountFrequency (%)
(unknown)131917
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
048224
36.6%
.39840
30.2%
124662
18.7%
25264
 
4.0%
4028
 
3.1%
32501
 
1.9%
51475
 
1.1%
41396
 
1.1%
61305
 
1.0%
8887
 
0.7%
Other values (23)2335
 
1.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown)131917
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
048224
36.6%
.39840
30.2%
124662
18.7%
25264
 
4.0%
4028
 
3.1%
32501
 
1.9%
51475
 
1.1%
41396
 
1.1%
61305
 
1.0%
8887
 
0.7%
Other values (23)2335
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown)131917
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
048224
36.6%
.39840
30.2%
124662
18.7%
25264
 
4.0%
4028
 
3.1%
32501
 
1.9%
51475
 
1.1%
41396
 
1.1%
61305
 
1.0%
8887
 
0.7%
Other values (23)2335
 
1.8%

num_videos
Text

Missing 

Distinct293
Distinct (%)0.7%
Missing449
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:36.886853image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.154900343
Min length1

Characters and Unicode

Total characters126155
Distinct characters30
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique189 ?
Unique (%)0.5%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.025052
62.7%
1.09447
 
23.6%
2.02169
 
5.4%
3.0529
 
1.3%
11.0285
 
0.7%
4.0245
 
0.6%
10.0208
 
0.5%
21.0207
 
0.5%
5.0142
 
0.4%
26.0124
 
0.3%
Other values (250)1579
 
3.9%
2025-10-28T21:31:37.107350image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
065222
51.7%
.39849
31.6%
111034
 
8.7%
3966
 
3.1%
22882
 
2.3%
3749
 
0.6%
6427
 
0.3%
4415
 
0.3%
5394
 
0.3%
7253
 
0.2%
Other values (20)964
 
0.8%

Most occurring categories

ValueCountFrequency (%)
(unknown)126155
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
065222
51.7%
.39849
31.6%
111034
 
8.7%
3966
 
3.1%
22882
 
2.3%
3749
 
0.6%
6427
 
0.3%
4415
 
0.3%
5394
 
0.3%
7253
 
0.2%
Other values (20)964
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown)126155
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
065222
51.7%
.39849
31.6%
111034
 
8.7%
3966
 
3.1%
22882
 
2.3%
3749
 
0.6%
6427
 
0.3%
4415
 
0.3%
5394
 
0.3%
7253
 
0.2%
Other values (20)964
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown)126155
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
065222
51.7%
.39849
31.6%
111034
 
8.7%
3966
 
3.1%
22882
 
2.3%
3749
 
0.6%
6427
 
0.3%
4415
 
0.3%
5394
 
0.3%
7253
 
0.2%
Other values (20)964
 
0.8%

average_token_length
Text

Missing 

Distinct30635
Distinct (%)76.5%
Missing405
Missing (%)1.0%
Memory size316.0 KiB
2025-10-28T21:31:37.328508image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length12.45559691
Min length1

Characters and Unicode

Total characters498610
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25728 ?
Unique (%)64.3%

Sample

1st row4.6803652968
2nd row4.9137254902
3rd row4.39336492891
4th row4.40489642185
5th row4.6828358209
ValueCountFrequency (%)
0.01175
 
2.9%
5.079
 
0.2%
4.572
 
0.2%
4.6666666666758
 
0.1%
error39
 
0.1%
4.636
 
0.1%
35
 
0.1%
4.7532
 
0.1%
invalid29
 
0.1%
4.828
 
0.1%
Other values (29967)38448
96.0%
2025-10-28T21:31:37.658743image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
475624
15.2%
548934
9.8%
645415
9.1%
743321
8.7%
842575
8.5%
342268
8.5%
240331
8.1%
140314
8.1%
.39902
8.0%
938992
7.8%
Other values (23)40934
8.2%

Most occurring categories

ValueCountFrequency (%)
(unknown)498610
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
475624
15.2%
548934
9.8%
645415
9.1%
743321
8.7%
842575
8.5%
342268
8.5%
240331
8.1%
140314
8.1%
.39902
8.0%
938992
7.8%
Other values (23)40934
8.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown)498610
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
475624
15.2%
548934
9.8%
645415
9.1%
743321
8.7%
842575
8.5%
342268
8.5%
240331
8.1%
140314
8.1%
.39902
8.0%
938992
7.8%
Other values (23)40934
8.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown)498610
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
475624
15.2%
548934
9.8%
645415
9.1%
743321
8.7%
842575
8.5%
342268
8.5%
240331
8.1%
140314
8.1%
.39902
8.0%
938992
7.8%
Other values (23)40934
8.2%

num_keywords
Text

Missing 

Distinct338
Distinct (%)0.8%
Missing455
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:37.813488image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.288161877
Min length1

Characters and Unicode

Total characters131464
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique243 ?
Unique (%)0.6%

Sample

1st row4.0
2nd row6.0
3rd row7.0
4th row7.0
5th row9.0
ValueCountFrequency (%)
7.07278
18.2%
6.06800
17.0%
10.06673
16.7%
8.06039
15.1%
5.04821
12.1%
9.04681
11.7%
4.02420
 
6.1%
3.0628
 
1.6%
1.050
 
0.1%
2.046
 
0.1%
Other values (307)545
 
1.4%
2025-10-28T21:31:38.043027image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
046628
35.5%
.39831
30.3%
77390
 
5.6%
66941
 
5.3%
16837
 
5.2%
86147
 
4.7%
54938
 
3.8%
94762
 
3.6%
3870
 
2.9%
42555
 
1.9%
Other values (23)1565
 
1.2%

Most occurring categories

ValueCountFrequency (%)
(unknown)131464
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
046628
35.5%
.39831
30.3%
77390
 
5.6%
66941
 
5.3%
16837
 
5.2%
86147
 
4.7%
54938
 
3.8%
94762
 
3.6%
3870
 
2.9%
42555
 
1.9%
Other values (23)1565
 
1.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown)131464
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
046628
35.5%
.39831
30.3%
77390
 
5.6%
66941
 
5.3%
16837
 
5.2%
86147
 
4.7%
54938
 
3.8%
94762
 
3.6%
3870
 
2.9%
42555
 
1.9%
Other values (23)1565
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown)131464
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
046628
35.5%
.39831
30.3%
77390
 
5.6%
66941
 
5.3%
16837
 
5.2%
86147
 
4.7%
54938
 
3.8%
94762
 
3.6%
3870
 
2.9%
42555
 
1.9%
Other values (23)1565
 
1.2%
Distinct209
Distinct (%)0.5%
Missing475
Missing (%)1.2%
Memory size316.0 KiB
2025-10-28T21:31:38.332673image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.115988088
Min length1

Characters and Unicode

Total characters124518
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique183 ?
Unique (%)0.5%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.037516
93.9%
1.02093
 
5.2%
44
 
0.1%
invalid35
 
0.1%
error34
 
0.1%
nan22
 
0.1%
390.03
 
< 0.1%
394.03
 
< 0.1%
790.02
 
< 0.1%
983.02
 
< 0.1%
Other values (192)207
 
0.5%
2025-10-28T21:31:38.723115image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
077376
62.1%
.39823
32.0%
4094
 
3.3%
12163
 
1.7%
r96
 
0.1%
979
 
0.1%
574
 
0.1%
873
 
0.1%
768
 
0.1%
368
 
0.1%
Other values (23)604
 
0.5%

Most occurring categories

ValueCountFrequency (%)
(unknown)124518
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
077376
62.1%
.39823
32.0%
4094
 
3.3%
12163
 
1.7%
r96
 
0.1%
979
 
0.1%
574
 
0.1%
873
 
0.1%
768
 
0.1%
368
 
0.1%
Other values (23)604
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown)124518
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
077376
62.1%
.39823
32.0%
4094
 
3.3%
12163
 
1.7%
r96
 
0.1%
979
 
0.1%
574
 
0.1%
873
 
0.1%
768
 
0.1%
368
 
0.1%
Other values (23)604
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown)124518
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
077376
62.1%
.39823
32.0%
4094
 
3.3%
12163
 
1.7%
r96
 
0.1%
979
 
0.1%
574
 
0.1%
873
 
0.1%
768
 
0.1%
368
 
0.1%
Other values (23)604
 
0.5%
Distinct211
Distinct (%)0.5%
Missing485
Missing (%)1.2%
Memory size316.0 KiB
2025-10-28T21:31:39.024706image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.114039699
Min length1

Characters and Unicode

Total characters124409
Distinct characters32
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique181 ?
Unique (%)0.5%

Sample

1st row1.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0
ValueCountFrequency (%)
0.032574
81.5%
1.07025
 
17.6%
invalid36
 
0.1%
35
 
0.1%
error34
 
0.1%
nan21
 
0.1%
63.04
 
< 0.1%
989.03
 
< 0.1%
290.03
 
< 0.1%
749.02
 
< 0.1%
Other values (195)214
 
0.5%
2025-10-28T21:31:39.430313image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
072448
58.2%
.39824
32.0%
17104
 
5.7%
3994
 
3.2%
r90
 
0.1%
374
 
0.1%
i70
 
0.1%
769
 
0.1%
469
 
0.1%
967
 
0.1%
Other values (22)600
 
0.5%

Most occurring categories

ValueCountFrequency (%)
(unknown)124409
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
072448
58.2%
.39824
32.0%
17104
 
5.7%
3994
 
3.2%
r90
 
0.1%
374
 
0.1%
i70
 
0.1%
769
 
0.1%
469
 
0.1%
967
 
0.1%
Other values (22)600
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown)124409
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
072448
58.2%
.39824
32.0%
17104
 
5.7%
3994
 
3.2%
r90
 
0.1%
374
 
0.1%
i70
 
0.1%
769
 
0.1%
469
 
0.1%
967
 
0.1%
Other values (22)600
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown)124409
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
072448
58.2%
.39824
32.0%
17104
 
5.7%
3994
 
3.2%
r90
 
0.1%
374
 
0.1%
i70
 
0.1%
769
 
0.1%
469
 
0.1%
967
 
0.1%
Other values (22)600
 
0.5%

data_channel_is_bus
Text

Missing 

Distinct217
Distinct (%)0.5%
Missing407
Missing (%)1.0%
Memory size316.0 KiB
2025-10-28T21:31:39.746144image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.117240001
Min length1

Characters and Unicode

Total characters124780
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique180 ?
Unique (%)0.4%

Sample

1st row0.0
2nd row1.0
3rd row1.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.033426
83.5%
1.06232
 
15.6%
error41
 
0.1%
39
 
0.1%
invalid33
 
0.1%
nan17
 
< 0.1%
null8
 
< 0.1%
n/a3
 
< 0.1%
58.03
 
< 0.1%
393.03
 
< 0.1%
Other values (199)224
 
0.6%
2025-10-28T21:31:40.321654image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
073354
58.8%
.39888
32.0%
16303
 
5.1%
4126
 
3.3%
r111
 
0.1%
678
 
0.1%
875
 
0.1%
269
 
0.1%
969
 
0.1%
766
 
0.1%
Other values (23)641
 
0.5%

Most occurring categories

ValueCountFrequency (%)
(unknown)124780
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
073354
58.8%
.39888
32.0%
16303
 
5.1%
4126
 
3.3%
r111
 
0.1%
678
 
0.1%
875
 
0.1%
269
 
0.1%
969
 
0.1%
766
 
0.1%
Other values (23)641
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown)124780
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
073354
58.8%
.39888
32.0%
16303
 
5.1%
4126
 
3.3%
r111
 
0.1%
678
 
0.1%
875
 
0.1%
269
 
0.1%
969
 
0.1%
766
 
0.1%
Other values (23)641
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown)124780
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
073354
58.8%
.39888
32.0%
16303
 
5.1%
4126
 
3.3%
r111
 
0.1%
678
 
0.1%
875
 
0.1%
269
 
0.1%
969
 
0.1%
766
 
0.1%
Other values (23)641
 
0.5%
Distinct204
Distinct (%)0.5%
Missing492
Missing (%)1.2%
Memory size316.0 KiB
2025-10-28T21:31:40.620090image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.117339275
Min length1

Characters and Unicode

Total characters124519
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique171 ?
Unique (%)0.4%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.037277
93.3%
1.02304
 
5.8%
error47
 
0.1%
invalid38
 
0.1%
37
 
0.1%
nan24
 
0.1%
null3
 
< 0.1%
754.03
 
< 0.1%
186.02
 
< 0.1%
515.02
 
< 0.1%
Other values (189)207
 
0.5%
2025-10-28T21:31:41.002988image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
077107
61.9%
.39794
32.0%
4098
 
3.3%
12376
 
1.9%
r132
 
0.1%
i72
 
0.1%
572
 
0.1%
968
 
0.1%
768
 
0.1%
467
 
0.1%
Other values (23)665
 
0.5%

Most occurring categories

ValueCountFrequency (%)
(unknown)124519
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
077107
61.9%
.39794
32.0%
4098
 
3.3%
12376
 
1.9%
r132
 
0.1%
i72
 
0.1%
572
 
0.1%
968
 
0.1%
768
 
0.1%
467
 
0.1%
Other values (23)665
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown)124519
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
077107
61.9%
.39794
32.0%
4098
 
3.3%
12376
 
1.9%
r132
 
0.1%
i72
 
0.1%
572
 
0.1%
968
 
0.1%
768
 
0.1%
467
 
0.1%
Other values (23)665
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown)124519
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
077107
61.9%
.39794
32.0%
4098
 
3.3%
12376
 
1.9%
r132
 
0.1%
i72
 
0.1%
572
 
0.1%
968
 
0.1%
768
 
0.1%
467
 
0.1%
Other values (23)665
 
0.5%

data_channel_is_tech
Text

Missing 

Distinct228
Distinct (%)0.6%
Missing443
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:41.293757image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.113844923
Min length1

Characters and Unicode

Total characters124532
Distinct characters32
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique205 ?
Unique (%)0.5%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row1.0
ValueCountFrequency (%)
0.032337
80.9%
1.07285
 
18.2%
51
 
0.1%
invalid34
 
0.1%
error32
 
0.1%
nan20
 
0.1%
n/a3
 
< 0.1%
11.03
 
< 0.1%
657.03
 
< 0.1%
818.02
 
< 0.1%
Other values (212)223
 
0.6%
2025-10-28T21:31:41.693372image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
072232
58.0%
.39853
32.0%
17359
 
5.9%
4022
 
3.2%
r93
 
0.1%
683
 
0.1%
580
 
0.1%
473
 
0.1%
770
 
0.1%
967
 
0.1%
Other values (22)600
 
0.5%

Most occurring categories

ValueCountFrequency (%)
(unknown)124532
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
072232
58.0%
.39853
32.0%
17359
 
5.9%
4022
 
3.2%
r93
 
0.1%
683
 
0.1%
580
 
0.1%
473
 
0.1%
770
 
0.1%
967
 
0.1%
Other values (22)600
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown)124532
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
072232
58.0%
.39853
32.0%
17359
 
5.9%
4022
 
3.2%
r93
 
0.1%
683
 
0.1%
580
 
0.1%
473
 
0.1%
770
 
0.1%
967
 
0.1%
Other values (22)600
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown)124532
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
072232
58.0%
.39853
32.0%
17359
 
5.9%
4022
 
3.2%
r93
 
0.1%
683
 
0.1%
580
 
0.1%
473
 
0.1%
770
 
0.1%
967
 
0.1%
Other values (22)600
 
0.5%

data_channel_is_world
Text

Missing 

Distinct220
Distinct (%)0.6%
Missing452
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:41.997477image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.111869748
Min length1

Characters and Unicode

Total characters124425
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique184 ?
Unique (%)0.5%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.031240
78.1%
1.08372
 
20.9%
error41
 
0.1%
37
 
0.1%
invalid36
 
0.1%
nan20
 
0.1%
null4
 
< 0.1%
79.03
 
< 0.1%
963.03
 
< 0.1%
654.02
 
< 0.1%
Other values (204)226
 
0.6%
2025-10-28T21:31:42.402076image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
071130
57.2%
.39845
32.0%
18440
 
6.8%
3888
 
3.1%
r117
 
0.1%
980
 
0.1%
476
 
0.1%
374
 
0.1%
i70
 
0.1%
769
 
0.1%
Other values (23)636
 
0.5%

Most occurring categories

ValueCountFrequency (%)
(unknown)124425
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
071130
57.2%
.39845
32.0%
18440
 
6.8%
3888
 
3.1%
r117
 
0.1%
980
 
0.1%
476
 
0.1%
374
 
0.1%
i70
 
0.1%
769
 
0.1%
Other values (23)636
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown)124425
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
071130
57.2%
.39845
32.0%
18440
 
6.8%
3888
 
3.1%
r117
 
0.1%
980
 
0.1%
476
 
0.1%
374
 
0.1%
i70
 
0.1%
769
 
0.1%
Other values (23)636
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown)124425
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
071130
57.2%
.39845
32.0%
18440
 
6.8%
3888
 
3.1%
r117
 
0.1%
980
 
0.1%
476
 
0.1%
374
 
0.1%
i70
 
0.1%
769
 
0.1%
Other values (23)636
 
0.5%

kw_min_min
Text

Missing 

Distinct336
Distinct (%)0.8%
Missing452
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:42.710275image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length3.927871148
Min length1

Characters and Unicode

Total characters157052
Distinct characters34
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique242 ?
Unique (%)0.6%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
1.022871
57.2%
4.011844
29.6%
217.04612
 
11.5%
0.078
 
0.2%
invalid46
 
0.1%
42
 
0.1%
error41
 
0.1%
nan18
 
< 0.1%
47.08
 
< 0.1%
45.07
 
< 0.1%
Other values (299)417
 
1.0%
2025-10-28T21:31:43.078533image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
039991
25.5%
.39833
25.4%
127619
17.6%
-22984
14.6%
411978
 
7.6%
24749
 
3.0%
74721
 
3.0%
3958
 
2.5%
8130
 
0.1%
6119
 
0.1%
Other values (24)970
 
0.6%

Most occurring categories

ValueCountFrequency (%)
(unknown)157052
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
039991
25.5%
.39833
25.4%
127619
17.6%
-22984
14.6%
411978
 
7.6%
24749
 
3.0%
74721
 
3.0%
3958
 
2.5%
8130
 
0.1%
6119
 
0.1%
Other values (24)970
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown)157052
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
039991
25.5%
.39833
25.4%
127619
17.6%
-22984
14.6%
411978
 
7.6%
24749
 
3.0%
74721
 
3.0%
3958
 
2.5%
8130
 
0.1%
6119
 
0.1%
Other values (24)970
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown)157052
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
039991
25.5%
.39833
25.4%
127619
17.6%
-22984
14.6%
411978
 
7.6%
24749
 
3.0%
74721
 
3.0%
3958
 
2.5%
8130
 
0.1%
6119
 
0.1%
Other values (24)970
 
0.6%

kw_max_min
Text

Missing 

Distinct2043
Distinct (%)5.1%
Missing464
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:43.406686image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length10
Median length5
Mean length5.30601421
Min length1

Characters and Unicode

Total characters212092
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique679 ?
Unique (%)1.7%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
1100.01508
 
3.8%
1200.01185
 
3.0%
0.0819
 
2.0%
1300.0815
 
2.0%
1400.0774
 
1.9%
1000.0730
 
1.8%
1500.0555
 
1.4%
1600.0504
 
1.3%
1700.0375
 
0.9%
1800.0288
 
0.7%
Other values (1401)32419
81.1%
2025-10-28T21:31:43.811321image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
068614
32.4%
.39815
18.8%
116900
 
8.0%
412325
 
5.8%
511673
 
5.5%
610733
 
5.1%
210729
 
5.1%
39957
 
4.7%
79191
 
4.3%
88713
 
4.1%
Other values (23)13442
 
6.3%

Most occurring categories

ValueCountFrequency (%)
(unknown)212092
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
068614
32.4%
.39815
18.8%
116900
 
8.0%
412325
 
5.8%
511673
 
5.5%
610733
 
5.1%
210729
 
5.1%
39957
 
4.7%
79191
 
4.3%
88713
 
4.1%
Other values (23)13442
 
6.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown)212092
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
068614
32.4%
.39815
18.8%
116900
 
8.0%
412325
 
5.8%
511673
 
5.5%
610733
 
5.1%
210729
 
5.1%
39957
 
4.7%
79191
 
4.3%
88713
 
4.1%
Other values (23)13442
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown)212092
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
068614
32.4%
.39815
18.8%
116900
 
8.0%
412325
 
5.8%
511673
 
5.5%
610733
 
5.1%
210729
 
5.1%
39957
 
4.7%
79191
 
4.3%
88713
 
4.1%
Other values (23)13442
 
6.3%

kw_avg_min
Text

Missing 

Distinct18434
Distinct (%)46.1%
Missing471
Missing (%)1.2%
Memory size316.0 KiB
2025-10-28T21:31:44.036426image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length8.410534217
Min length1

Characters and Unicode

Total characters336127
Distinct characters32
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11201 ?
Unique (%)28.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
1.0699
 
1.7%
0.080
 
0.2%
51
 
0.1%
43.2547
 
0.1%
125.045
 
0.1%
107.66666666743
 
0.1%
80.541
 
0.1%
194.040
 
0.1%
63.038
 
0.1%
11.538
 
0.1%
Other values (17134)38843
97.2%
2025-10-28T21:31:44.353055image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
346807
13.9%
.39823
11.8%
638108
11.3%
135718
10.6%
234084
10.1%
531013
9.2%
728001
8.3%
426328
7.8%
824089
7.2%
015622
 
4.6%
Other values (22)16534
 
4.9%

Most occurring categories

ValueCountFrequency (%)
(unknown)336127
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
346807
13.9%
.39823
11.8%
638108
11.3%
135718
10.6%
234084
10.1%
531013
9.2%
728001
8.3%
426328
7.8%
824089
7.2%
015622
 
4.6%
Other values (22)16534
 
4.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown)336127
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
346807
13.9%
.39823
11.8%
638108
11.3%
135718
10.6%
234084
10.1%
531013
9.2%
728001
8.3%
426328
7.8%
824089
7.2%
015622
 
4.6%
Other values (22)16534
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown)336127
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
346807
13.9%
.39823
11.8%
638108
11.3%
135718
10.6%
234084
10.1%
531013
9.2%
728001
8.3%
426328
7.8%
824089
7.2%
015622
 
4.6%
Other values (22)16534
 
4.9%

kw_min_max
Text

Missing 

Distinct1626
Distinct (%)4.1%
Missing441
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:44.602142image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.021927741
Min length1

Characters and Unicode

Total characters200852
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique659 ?
Unique (%)1.6%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.017121
42.8%
1500.0374
 
0.9%
1200.0365
 
0.9%
1400.0362
 
0.9%
1300.0359
 
0.9%
1100.0347
 
0.9%
1600.0327
 
0.8%
1900.0312
 
0.8%
2100.0306
 
0.8%
2000.0304
 
0.8%
Other values (1268)19818
49.6%
2025-10-28T21:31:44.932136image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0103530
51.5%
.39835
 
19.8%
111229
 
5.6%
27547
 
3.8%
36356
 
3.2%
45743
 
2.9%
74822
 
2.4%
54678
 
2.3%
64640
 
2.3%
83975
 
2.0%
Other values (23)8497
 
4.2%

Most occurring categories

ValueCountFrequency (%)
(unknown)200852
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0103530
51.5%
.39835
 
19.8%
111229
 
5.6%
27547
 
3.8%
36356
 
3.2%
45743
 
2.9%
74822
 
2.4%
54678
 
2.3%
64640
 
2.3%
83975
 
2.0%
Other values (23)8497
 
4.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown)200852
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0103530
51.5%
.39835
 
19.8%
111229
 
5.6%
27547
 
3.8%
36356
 
3.2%
45743
 
2.9%
74822
 
2.4%
54678
 
2.3%
64640
 
2.3%
83975
 
2.0%
Other values (23)8497
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown)200852
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0103530
51.5%
.39835
 
19.8%
111229
 
5.6%
27547
 
3.8%
36356
 
3.2%
45743
 
2.9%
74822
 
2.4%
54678
 
2.3%
64640
 
2.3%
83975
 
2.0%
Other values (23)8497
 
4.2%

kw_max_max
Text

Missing 

Distinct354
Distinct (%)0.9%
Missing405
Missing (%)1.0%
Memory size316.0 KiB
2025-10-28T21:31:45.057057image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length8.009542604
Min length1

Characters and Unicode

Total characters320630
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique261 ?
Unique (%)0.7%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
843300.030093
75.2%
690400.03981
 
9.9%
617900.02268
 
5.7%
69100.01248
 
3.1%
51900.0823
 
2.1%
80400.0396
 
1.0%
39400.0147
 
0.4%
28000.0135
 
0.3%
37400.0120
 
0.3%
17100.099
 
0.2%
Other values (324)721
 
1.8%
2025-10-28T21:31:45.251508image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0123893
38.6%
360779
19.0%
.39873
 
12.4%
435124
 
11.0%
830941
 
9.7%
98644
 
2.7%
67723
 
2.4%
14761
 
1.5%
4014
 
1.3%
72728
 
0.9%
Other values (23)2150
 
0.7%

Most occurring categories

ValueCountFrequency (%)
(unknown)320630
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0123893
38.6%
360779
19.0%
.39873
 
12.4%
435124
 
11.0%
830941
 
9.7%
98644
 
2.7%
67723
 
2.4%
14761
 
1.5%
4014
 
1.3%
72728
 
0.9%
Other values (23)2150
 
0.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown)320630
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0123893
38.6%
360779
19.0%
.39873
 
12.4%
435124
 
11.0%
830941
 
9.7%
98644
 
2.7%
67723
 
2.4%
14761
 
1.5%
4014
 
1.3%
72728
 
0.9%
Other values (23)2150
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown)320630
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0123893
38.6%
360779
19.0%
.39873
 
12.4%
435124
 
11.0%
830941
 
9.7%
98644
 
2.7%
67723
 
2.4%
14761
 
1.5%
4014
 
1.3%
72728
 
0.9%
Other values (23)2150
 
0.7%

kw_avg_max
Text

Missing 

Distinct31340
Distinct (%)78.4%
Missing478
Missing (%)1.2%
Memory size316.0 KiB
2025-10-28T21:31:45.482689image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length20
Median length8
Mean length9.973046699
Min length1

Characters and Unicode

Total characters398503
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25933 ?
Unique (%)64.9%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.077
 
0.2%
843300.055
 
0.1%
406425.045
 
0.1%
invalid43
 
0.1%
384225.043
 
0.1%
483900.039
 
0.1%
534200.037
 
0.1%
36
 
0.1%
559366.66666730
 
0.1%
383800.029
 
0.1%
Other values (30595)39524
98.9%
2025-10-28T21:31:45.824310image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
055814
14.0%
344781
11.2%
242014
10.5%
.39829
10.0%
138336
9.6%
637025
9.3%
533498
8.4%
730814
7.7%
430003
7.5%
827394
6.9%
Other values (23)18995
 
4.8%

Most occurring categories

ValueCountFrequency (%)
(unknown)398503
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
055814
14.0%
344781
11.2%
242014
10.5%
.39829
10.0%
138336
9.6%
637025
9.3%
533498
8.4%
730814
7.7%
430003
7.5%
827394
6.9%
Other values (23)18995
 
4.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown)398503
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
055814
14.0%
344781
11.2%
242014
10.5%
.39829
10.0%
138336
9.6%
637025
9.3%
533498
8.4%
730814
7.7%
430003
7.5%
827394
6.9%
Other values (23)18995
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown)398503
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
055814
14.0%
344781
11.2%
242014
10.5%
.39829
10.0%
138336
9.6%
637025
9.3%
533498
8.4%
730814
7.7%
430003
7.5%
827394
6.9%
Other values (23)18995
 
4.8%

kw_min_avg
Text

Missing 

Distinct16371
Distinct (%)40.9%
Missing432
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:46.029947image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length7.523772623
Min length1

Characters and Unicode

Total characters300981
Distinct characters30
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13129 ?
Unique (%)32.8%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.017109
42.8%
1100.0152
 
0.4%
1200.0130
 
0.3%
1300.0121
 
0.3%
1400.0112
 
0.3%
1500.0100
 
0.2%
1600.083
 
0.2%
1700.067
 
0.2%
1000.067
 
0.2%
1900.065
 
0.2%
Other values (15939)21998
55.0%
2025-10-28T21:31:46.328427image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
055595
18.5%
.39852
13.2%
129314
9.7%
326718
8.9%
226667
8.9%
622812
7.6%
520641
 
6.9%
719502
 
6.5%
819084
 
6.3%
419037
 
6.3%
Other values (20)21759
 
7.2%

Most occurring categories

ValueCountFrequency (%)
(unknown)300981
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
055595
18.5%
.39852
13.2%
129314
9.7%
326718
8.9%
226667
8.9%
622812
7.6%
520641
 
6.9%
719502
 
6.5%
819084
 
6.3%
419037
 
6.3%
Other values (20)21759
 
7.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown)300981
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
055595
18.5%
.39852
13.2%
129314
9.7%
326718
8.9%
226667
8.9%
622812
7.6%
520641
 
6.9%
719502
 
6.5%
819084
 
6.3%
419037
 
6.3%
Other values (20)21759
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown)300981
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
055595
18.5%
.39852
13.2%
129314
9.7%
326718
8.9%
226667
8.9%
622812
7.6%
520641
 
6.9%
719502
 
6.5%
819084
 
6.3%
419037
 
6.3%
Other values (20)21759
 
7.2%

kw_max_avg
Text

Missing 

Distinct20586
Distinct (%)51.5%
Missing440
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:46.548357image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length12.10921092
Min length1

Characters and Unicode

Total characters484320
Distinct characters31
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14359 ?
Unique (%)35.9%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.077
 
0.2%
3517.7271461346
 
0.1%
44
 
0.1%
3483.3051090842
 
0.1%
invalid42
 
0.1%
3445.0339904840
 
0.1%
3399.3313934636
 
0.1%
3447.5858356235
 
0.1%
3483.538140235
 
0.1%
3396.6918092235
 
0.1%
Other values (19512)39564
98.9%
2025-10-28T21:31:46.855602image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
358870
12.2%
448283
10.0%
548075
9.9%
644476
9.2%
742688
8.8%
841594
8.6%
240382
8.3%
140169
8.3%
.39857
8.2%
038495
7.9%
Other values (21)41431
8.6%

Most occurring categories

ValueCountFrequency (%)
(unknown)484320
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
358870
12.2%
448283
10.0%
548075
9.9%
644476
9.2%
742688
8.8%
841594
8.6%
240382
8.3%
140169
8.3%
.39857
8.2%
038495
7.9%
Other values (21)41431
8.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown)484320
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
358870
12.2%
448283
10.0%
548075
9.9%
644476
9.2%
742688
8.8%
841594
8.6%
240382
8.3%
140169
8.3%
.39857
8.2%
038495
7.9%
Other values (21)41431
8.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown)484320
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
358870
12.2%
448283
10.0%
548075
9.9%
644476
9.2%
742688
8.8%
841594
8.6%
240382
8.3%
140169
8.3%
.39857
8.2%
038495
7.9%
Other values (21)41431
8.6%
Distinct38913
Distinct (%)97.2%
Missing401
Missing (%)1.0%
Memory size316.0 KiB
2025-10-28T21:31:47.078301image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length12.95184214
Min length1

Characters and Unicode

Total characters518527
Distinct characters30
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38028 ?
Unique (%)95.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.078
 
0.2%
invalid42
 
0.1%
error36
 
0.1%
36
 
0.1%
nan18
 
< 0.1%
2688.989333648
 
< 0.1%
2167.227240165
 
< 0.1%
2902.801464625
 
< 0.1%
3941.365969294
 
< 0.1%
4109.953794644
 
< 0.1%
Other values (38804)39799
99.4%
2025-10-28T21:31:47.397773image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
261993
12.0%
354520
10.5%
448364
9.3%
147770
9.2%
545942
8.9%
644418
8.6%
944002
8.5%
743685
8.4%
843543
8.4%
.39898
7.7%
Other values (20)44392
8.6%

Most occurring categories

ValueCountFrequency (%)
(unknown)518527
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
261993
12.0%
354520
10.5%
448364
9.3%
147770
9.2%
545942
8.9%
644418
8.6%
944002
8.5%
743685
8.4%
843543
8.4%
.39898
7.7%
Other values (20)44392
8.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown)518527
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
261993
12.0%
354520
10.5%
448364
9.3%
147770
9.2%
545942
8.9%
644418
8.6%
944002
8.5%
743685
8.4%
843543
8.4%
.39898
7.7%
Other values (20)44392
8.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown)518527
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
261993
12.0%
354520
10.5%
448364
9.3%
147770
9.2%
545942
8.9%
644418
8.6%
944002
8.5%
743685
8.4%
843543
8.4%
.39898
7.7%
Other values (20)44392
8.6%
Distinct2024
Distinct (%)5.1%
Missing439
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:47.715131image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.39772983
Min length1

Characters and Unicode

Total characters215893
Distinct characters32
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique760 ?
Unique (%)1.9%

Sample

1st row496.0
2nd row0.0
3rd row918.0
4th row0.0
5th row545.0
ValueCountFrequency (%)
0.07151
 
17.9%
1100.01708
 
4.3%
1200.01347
 
3.4%
1300.01341
 
3.4%
1400.01113
 
2.8%
1500.0960
 
2.4%
1000.0879
 
2.2%
1600.0829
 
2.1%
1700.0721
 
1.8%
1900.0657
 
1.6%
Other values (1529)23291
58.2%
2025-10-28T21:31:48.311325image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
098148
45.5%
.39832
18.4%
117709
 
8.2%
29708
 
4.5%
37292
 
3.4%
56858
 
3.2%
46532
 
3.0%
96500
 
3.0%
76473
 
3.0%
66116
 
2.8%
Other values (22)10725
 
5.0%

Most occurring categories

ValueCountFrequency (%)
(unknown)215893
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
098148
45.5%
.39832
18.4%
117709
 
8.2%
29708
 
4.5%
37292
 
3.4%
56858
 
3.2%
46532
 
3.0%
96500
 
3.0%
76473
 
3.0%
66116
 
2.8%
Other values (22)10725
 
5.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown)215893
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
098148
45.5%
.39832
18.4%
117709
 
8.2%
29708
 
4.5%
37292
 
3.4%
56858
 
3.2%
46532
 
3.0%
96500
 
3.0%
76473
 
3.0%
66116
 
2.8%
Other values (22)10725
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown)215893
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
098148
45.5%
.39832
18.4%
117709
 
8.2%
29708
 
4.5%
37292
 
3.4%
56858
 
3.2%
46532
 
3.0%
96500
 
3.0%
76473
 
3.0%
66116
 
2.8%
Other values (22)10725
 
5.0%
Distinct1847
Distinct (%)4.6%
Missing464
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:48.578245image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length11
Median length6
Mean length5.722855999
Min length1

Characters and Unicode

Total characters228754
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique694 ?
Unique (%)1.7%

Sample

1st row496.0
2nd row0.0
3rd row918.0
4th row0.0
5th row16000.0
ValueCountFrequency (%)
0.07167
 
17.9%
1200.0750
 
1.9%
1100.0738
 
1.8%
1300.0726
 
1.8%
1500.0688
 
1.7%
1900.0679
 
1.7%
1400.0672
 
1.7%
1600.0589
 
1.5%
2000.0584
 
1.5%
1800.0560
 
1.4%
Other values (1450)26819
67.1%
2025-10-28T21:31:48.925611image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0112136
49.0%
.39842
 
17.4%
116130
 
7.1%
210921
 
4.8%
38301
 
3.6%
46960
 
3.0%
56885
 
3.0%
66029
 
2.6%
95921
 
2.6%
75640
 
2.5%
Other values (23)9989
 
4.4%

Most occurring categories

ValueCountFrequency (%)
(unknown)228754
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0112136
49.0%
.39842
 
17.4%
116130
 
7.1%
210921
 
4.8%
38301
 
3.6%
46960
 
3.0%
56885
 
3.0%
66029
 
2.6%
95921
 
2.6%
75640
 
2.5%
Other values (23)9989
 
4.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown)228754
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0112136
49.0%
.39842
 
17.4%
116130
 
7.1%
210921
 
4.8%
38301
 
3.6%
46960
 
3.0%
56885
 
3.0%
66029
 
2.6%
95921
 
2.6%
75640
 
2.5%
Other values (23)9989
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown)228754
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0112136
49.0%
.39842
 
17.4%
116130
 
7.1%
210921
 
4.8%
38301
 
3.6%
46960
 
3.0%
56885
 
3.0%
66029
 
2.6%
95921
 
2.6%
75640
 
2.5%
Other values (23)9989
 
4.4%
Distinct9333
Distinct (%)23.4%
Missing466
Missing (%)1.2%
Memory size316.0 KiB
2025-10-28T21:31:49.196383image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length6.375456592
Min length1

Characters and Unicode

Total characters254827
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6885 ?
Unique (%)17.2%

Sample

1st row496.0
2nd row0.0
3rd row918.0
4th row0.0
5th row3151.15789474
ValueCountFrequency (%)
0.07190
 
18.0%
1200.0569
 
1.4%
1300.0552
 
1.4%
1100.0535
 
1.3%
1400.0479
 
1.2%
1500.0468
 
1.2%
1600.0417
 
1.0%
1700.0407
 
1.0%
2000.0402
 
1.0%
1800.0372
 
0.9%
Other values (8738)28579
71.5%
2025-10-28T21:31:49.556413image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
083183
32.6%
.39816
15.6%
324417
 
9.6%
621400
 
8.4%
118502
 
7.3%
514726
 
5.8%
214211
 
5.6%
710062
 
3.9%
49294
 
3.6%
87649
 
3.0%
Other values (23)11567
 
4.5%

Most occurring categories

ValueCountFrequency (%)
(unknown)254827
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
083183
32.6%
.39816
15.6%
324417
 
9.6%
621400
 
8.4%
118502
 
7.3%
514726
 
5.8%
214211
 
5.6%
710062
 
3.9%
49294
 
3.6%
87649
 
3.0%
Other values (23)11567
 
4.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown)254827
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
083183
32.6%
.39816
15.6%
324417
 
9.6%
621400
 
8.4%
118502
 
7.3%
514726
 
5.8%
214211
 
5.6%
710062
 
3.9%
49294
 
3.6%
87649
 
3.0%
Other values (23)11567
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown)254827
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
083183
32.6%
.39816
15.6%
324417
 
9.6%
621400
 
8.4%
118502
 
7.3%
514726
 
5.8%
214211
 
5.6%
710062
 
3.9%
49294
 
3.6%
87649
 
3.0%
Other values (23)11567
 
4.5%

weekday_is_monday
Text

Missing 

Distinct225
Distinct (%)0.6%
Missing459
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:49.870316image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.114966106
Min length1

Characters and Unicode

Total characters124527
Distinct characters32
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique181 ?
Unique (%)0.5%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0
ValueCountFrequency (%)
0.032939
82.4%
1.06636
 
16.6%
49
 
0.1%
invalid39
 
0.1%
error37
 
0.1%
nan28
 
0.1%
n/a3
 
< 0.1%
447.02
 
< 0.1%
35.02
 
< 0.1%
485.02
 
< 0.1%
Other values (209)240
 
0.6%
2025-10-28T21:31:50.265321image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
072815
58.5%
.39821
32.0%
16715
 
5.4%
3994
 
3.2%
r99
 
0.1%
879
 
0.1%
978
 
0.1%
575
 
0.1%
275
 
0.1%
i74
 
0.1%
Other values (22)702
 
0.6%

Most occurring categories

ValueCountFrequency (%)
(unknown)124527
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
072815
58.5%
.39821
32.0%
16715
 
5.4%
3994
 
3.2%
r99
 
0.1%
879
 
0.1%
978
 
0.1%
575
 
0.1%
275
 
0.1%
i74
 
0.1%
Other values (22)702
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown)124527
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
072815
58.5%
.39821
32.0%
16715
 
5.4%
3994
 
3.2%
r99
 
0.1%
879
 
0.1%
978
 
0.1%
575
 
0.1%
275
 
0.1%
i74
 
0.1%
Other values (22)702
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown)124527
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
072815
58.5%
.39821
32.0%
16715
 
5.4%
3994
 
3.2%
r99
 
0.1%
879
 
0.1%
978
 
0.1%
575
 
0.1%
275
 
0.1%
i74
 
0.1%
Other values (22)702
 
0.6%

weekday_is_tuesday
Text

Missing 

Distinct238
Distinct (%)0.6%
Missing459
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:50.575992image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.115891638
Min length1

Characters and Unicode

Total characters124564
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique195 ?
Unique (%)0.5%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.032202
80.6%
1.07359
 
18.4%
invalid48
 
0.1%
error46
 
0.1%
45
 
0.1%
nan16
 
< 0.1%
null4
 
< 0.1%
14.02
 
< 0.1%
215.02
 
< 0.1%
239.02
 
< 0.1%
Other values (220)251
 
0.6%
2025-10-28T21:31:50.971080image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
072073
57.9%
.39817
32.0%
17419
 
6.0%
3950
 
3.2%
r126
 
0.1%
i90
 
0.1%
986
 
0.1%
385
 
0.1%
684
 
0.1%
880
 
0.1%
Other values (23)754
 
0.6%

Most occurring categories

ValueCountFrequency (%)
(unknown)124564
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
072073
57.9%
.39817
32.0%
17419
 
6.0%
3950
 
3.2%
r126
 
0.1%
i90
 
0.1%
986
 
0.1%
385
 
0.1%
684
 
0.1%
880
 
0.1%
Other values (23)754
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown)124564
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
072073
57.9%
.39817
32.0%
17419
 
6.0%
3950
 
3.2%
r126
 
0.1%
i90
 
0.1%
986
 
0.1%
385
 
0.1%
684
 
0.1%
880
 
0.1%
Other values (23)754
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown)124564
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
072073
57.9%
.39817
32.0%
17419
 
6.0%
3950
 
3.2%
r126
 
0.1%
i90
 
0.1%
986
 
0.1%
385
 
0.1%
684
 
0.1%
880
 
0.1%
Other values (23)754
 
0.6%

weekday_is_wednesday
Text

Missing 

Distinct225
Distinct (%)0.6%
Missing421
Missing (%)1.0%
Memory size316.0 KiB
2025-10-28T21:31:51.279768image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.115456704
Min length1

Characters and Unicode

Total characters124665
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique189 ?
Unique (%)0.5%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.032232
80.5%
1.07409
 
18.5%
error38
 
0.1%
invalid33
 
0.1%
31
 
0.1%
nan25
 
0.1%
null5
 
< 0.1%
145.03
 
< 0.1%
n/a3
 
< 0.1%
706.02
 
< 0.1%
Other values (210)234
 
0.6%
2025-10-28T21:31:51.682528image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
072162
57.9%
.39880
32.0%
17482
 
6.0%
4028
 
3.2%
r105
 
0.1%
677
 
0.1%
473
 
0.1%
573
 
0.1%
971
 
0.1%
767
 
0.1%
Other values (23)647
 
0.5%

Most occurring categories

ValueCountFrequency (%)
(unknown)124665
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
072162
57.9%
.39880
32.0%
17482
 
6.0%
4028
 
3.2%
r105
 
0.1%
677
 
0.1%
473
 
0.1%
573
 
0.1%
971
 
0.1%
767
 
0.1%
Other values (23)647
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown)124665
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
072162
57.9%
.39880
32.0%
17482
 
6.0%
4028
 
3.2%
r105
 
0.1%
677
 
0.1%
473
 
0.1%
573
 
0.1%
971
 
0.1%
767
 
0.1%
Other values (23)647
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown)124665
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
072162
57.9%
.39880
32.0%
17482
 
6.0%
4028
 
3.2%
r105
 
0.1%
677
 
0.1%
473
 
0.1%
573
 
0.1%
971
 
0.1%
767
 
0.1%
Other values (23)647
 
0.5%

weekday_is_thursday
Text

Missing 

Distinct226
Distinct (%)0.6%
Missing459
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:51.980997image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.116516997
Min length1

Characters and Unicode

Total characters124589
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique197 ?
Unique (%)0.5%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.032389
81.0%
1.07210
 
18.0%
invalid46
 
0.1%
40
 
0.1%
error37
 
0.1%
nan17
 
< 0.1%
null4
 
< 0.1%
832.03
 
< 0.1%
733.03
 
< 0.1%
18.03
 
< 0.1%
Other values (208)225
 
0.6%
2025-10-28T21:31:52.376925image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
072266
58.0%
.39832
32.0%
17272
 
5.8%
4046
 
3.2%
r105
 
0.1%
i86
 
0.1%
776
 
0.1%
375
 
0.1%
271
 
0.1%
870
 
0.1%
Other values (23)690
 
0.6%

Most occurring categories

ValueCountFrequency (%)
(unknown)124589
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
072266
58.0%
.39832
32.0%
17272
 
5.8%
4046
 
3.2%
r105
 
0.1%
i86
 
0.1%
776
 
0.1%
375
 
0.1%
271
 
0.1%
870
 
0.1%
Other values (23)690
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown)124589
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
072266
58.0%
.39832
32.0%
17272
 
5.8%
4046
 
3.2%
r105
 
0.1%
i86
 
0.1%
776
 
0.1%
375
 
0.1%
271
 
0.1%
870
 
0.1%
Other values (23)690
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown)124589
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
072266
58.0%
.39832
32.0%
17272
 
5.8%
4046
 
3.2%
r105
 
0.1%
i86
 
0.1%
776
 
0.1%
375
 
0.1%
271
 
0.1%
870
 
0.1%
Other values (23)690
 
0.6%

weekday_is_friday
Text

Missing 

Distinct205
Distinct (%)0.5%
Missing429
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:52.674870image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.11582973
Min length1

Characters and Unicode

Total characters124655
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique179 ?
Unique (%)0.4%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.033956
84.9%
1.05681
 
14.2%
invalid58
 
0.1%
error43
 
0.1%
42
 
0.1%
nan15
 
< 0.1%
null3
 
< 0.1%
739.02
 
< 0.1%
53.02
 
< 0.1%
745.02
 
< 0.1%
Other values (188)203
 
0.5%
2025-10-28T21:31:53.075737image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
073848
59.2%
.39845
32.0%
15736
 
4.6%
4006
 
3.2%
r123
 
0.1%
i114
 
0.1%
568
 
0.1%
868
 
0.1%
367
 
0.1%
765
 
0.1%
Other values (23)715
 
0.6%

Most occurring categories

ValueCountFrequency (%)
(unknown)124655
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
073848
59.2%
.39845
32.0%
15736
 
4.6%
4006
 
3.2%
r123
 
0.1%
i114
 
0.1%
568
 
0.1%
868
 
0.1%
367
 
0.1%
765
 
0.1%
Other values (23)715
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown)124655
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
073848
59.2%
.39845
32.0%
15736
 
4.6%
4006
 
3.2%
r123
 
0.1%
i114
 
0.1%
568
 
0.1%
868
 
0.1%
367
 
0.1%
765
 
0.1%
Other values (23)715
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown)124655
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
073848
59.2%
.39845
32.0%
15736
 
4.6%
4006
 
3.2%
r123
 
0.1%
i114
 
0.1%
568
 
0.1%
868
 
0.1%
367
 
0.1%
765
 
0.1%
Other values (23)715
 
0.6%

weekday_is_saturday
Text

Missing 

Distinct201
Distinct (%)0.5%
Missing456
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:53.366778image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.112981491
Min length1

Characters and Unicode

Total characters124457
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)0.4%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.037178
93.0%
1.02421
 
6.1%
50
 
0.1%
invalid47
 
0.1%
error41
 
0.1%
nan26
 
0.1%
n/a4
 
< 0.1%
null4
 
< 0.1%
806.03
 
< 0.1%
946.02
 
< 0.1%
Other values (184)204
 
0.5%
2025-10-28T21:31:53.738891image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
077029
61.9%
.39808
32.0%
3940
 
3.2%
12480
 
2.0%
r120
 
0.1%
i90
 
0.1%
276
 
0.1%
873
 
0.1%
372
 
0.1%
665
 
0.1%
Other values (23)704
 
0.6%

Most occurring categories

ValueCountFrequency (%)
(unknown)124457
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
077029
61.9%
.39808
32.0%
3940
 
3.2%
12480
 
2.0%
r120
 
0.1%
i90
 
0.1%
276
 
0.1%
873
 
0.1%
372
 
0.1%
665
 
0.1%
Other values (23)704
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown)124457
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
077029
61.9%
.39808
32.0%
3940
 
3.2%
12480
 
2.0%
r120
 
0.1%
i90
 
0.1%
276
 
0.1%
873
 
0.1%
372
 
0.1%
665
 
0.1%
Other values (23)704
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown)124457
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
077029
61.9%
.39808
32.0%
3940
 
3.2%
12480
 
2.0%
r120
 
0.1%
i90
 
0.1%
276
 
0.1%
873
 
0.1%
372
 
0.1%
665
 
0.1%
Other values (23)704
 
0.6%

weekday_is_sunday
Text

Missing 

Distinct206
Distinct (%)0.5%
Missing470
Missing (%)1.2%
Memory size316.0 KiB
2025-10-28T21:31:54.043362image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.117049492
Min length1

Characters and Unicode

Total characters124576
Distinct characters32
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique177 ?
Unique (%)0.4%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.036884
92.3%
1.02721
 
6.8%
error43
 
0.1%
invalid41
 
0.1%
34
 
0.1%
nan27
 
0.1%
null3
 
< 0.1%
567.03
 
< 0.1%
813.02
 
< 0.1%
600.02
 
< 0.1%
Other values (189)206
 
0.5%
2025-10-28T21:31:54.433047image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
076742
61.6%
.39818
32.0%
4082
 
3.3%
12785
 
2.2%
r120
 
0.1%
i80
 
0.1%
870
 
0.1%
768
 
0.1%
268
 
0.1%
367
 
0.1%
Other values (22)676
 
0.5%

Most occurring categories

ValueCountFrequency (%)
(unknown)124576
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
076742
61.6%
.39818
32.0%
4082
 
3.3%
12785
 
2.2%
r120
 
0.1%
i80
 
0.1%
870
 
0.1%
768
 
0.1%
268
 
0.1%
367
 
0.1%
Other values (22)676
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown)124576
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
076742
61.6%
.39818
32.0%
4082
 
3.3%
12785
 
2.2%
r120
 
0.1%
i80
 
0.1%
870
 
0.1%
768
 
0.1%
268
 
0.1%
367
 
0.1%
Other values (22)676
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown)124576
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
076742
61.6%
.39818
32.0%
4082
 
3.3%
12785
 
2.2%
r120
 
0.1%
i80
 
0.1%
870
 
0.1%
768
 
0.1%
268
 
0.1%
367
 
0.1%
Other values (22)676
 
0.5%

is_weekend
Text

Missing 

Distinct224
Distinct (%)0.6%
Missing467
Missing (%)1.2%
Memory size316.0 KiB
2025-10-28T21:31:54.742496image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.117841327
Min length1

Characters and Unicode

Total characters124617
Distinct characters30
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique197 ?
Unique (%)0.5%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.034413
86.1%
1.05167
 
12.9%
46
 
0.1%
invalid43
 
0.1%
error41
 
0.1%
nan27
 
0.1%
970.02
 
< 0.1%
45.02
 
< 0.1%
138.02
 
< 0.1%
667.02
 
< 0.1%
Other values (209)224
 
0.6%
2025-10-28T21:31:55.147584image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
074266
59.6%
.39809
31.9%
15240
 
4.2%
4102
 
3.3%
r123
 
0.1%
982
 
0.1%
i80
 
0.1%
274
 
0.1%
373
 
0.1%
472
 
0.1%
Other values (20)696
 
0.6%

Most occurring categories

ValueCountFrequency (%)
(unknown)124617
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
074266
59.6%
.39809
31.9%
15240
 
4.2%
4102
 
3.3%
r123
 
0.1%
982
 
0.1%
i80
 
0.1%
274
 
0.1%
373
 
0.1%
472
 
0.1%
Other values (20)696
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown)124617
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
074266
59.6%
.39809
31.9%
15240
 
4.2%
4102
 
3.3%
r123
 
0.1%
982
 
0.1%
i80
 
0.1%
274
 
0.1%
373
 
0.1%
472
 
0.1%
Other values (20)696
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown)124617
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
074266
59.6%
.39809
31.9%
15240
 
4.2%
4102
 
3.3%
r123
 
0.1%
982
 
0.1%
i80
 
0.1%
274
 
0.1%
373
 
0.1%
472
 
0.1%
Other values (20)696
 
0.6%

LDA_00
Text

Missing 

Distinct38849
Distinct (%)97.3%
Missing491
Missing (%)1.2%
Memory size316.0 KiB
2025-10-28T21:31:55.395492image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length14.61209163
Min length1

Characters and Unicode

Total characters583680
Distinct characters25
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38048 ?
Unique (%)95.3%

Sample

1st row0.500331204081
2nd row0.799755687423
3rd row0.217792288518
4th row0.0285732164707
5th row0.0286328101715
ValueCountFrequency (%)
0.251
 
0.1%
invalid47
 
0.1%
36
 
0.1%
error33
 
0.1%
nan19
 
< 0.1%
0.050000201462619
 
< 0.1%
0.050000201462514
 
< 0.1%
0.91999963538714
 
< 0.1%
0.050000162038712
 
< 0.1%
0.040000146324710
 
< 0.1%
Other values (38747)39690
99.4%
2025-10-28T21:31:55.731102image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0123360
21.1%
263015
10.8%
357318
9.8%
546433
 
8.0%
443095
 
7.4%
842682
 
7.3%
142345
 
7.3%
640747
 
7.0%
940137
 
6.9%
739993
 
6.9%
Other values (15)44555
 
7.6%

Most occurring categories

ValueCountFrequency (%)
(unknown)583680
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0123360
21.1%
263015
10.8%
357318
9.8%
546433
 
8.0%
443095
 
7.4%
842682
 
7.3%
142345
 
7.3%
640747
 
7.0%
940137
 
6.9%
739993
 
6.9%
Other values (15)44555
 
7.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown)583680
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0123360
21.1%
263015
10.8%
357318
9.8%
546433
 
8.0%
443095
 
7.4%
842682
 
7.3%
142345
 
7.3%
640747
 
7.0%
940137
 
6.9%
739993
 
6.9%
Other values (15)44555
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown)583680
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0123360
21.1%
263015
10.8%
357318
9.8%
546433
 
8.0%
443095
 
7.4%
842682
 
7.3%
142345
 
7.3%
640747
 
7.0%
940137
 
6.9%
739993
 
6.9%
Other values (15)44555
 
7.6%

LDA_01
Text

Missing 

Distinct38655
Distinct (%)96.7%
Missing454
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:55.964886image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length14.66452404
Min length1

Characters and Unicode

Total characters586317
Distinct characters32
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37826 ?
Unique (%)94.6%

Sample

1st row0.378278929586
2nd row0.0500466753998
3rd row0.033334456999
4th row0.419299641782
5th row0.0287935517322
ValueCountFrequency (%)
0.249
 
0.1%
error47
 
0.1%
0.050000046606439
 
0.1%
39
 
0.1%
invalid37
 
0.1%
0.0666667566430
 
0.1%
0.066666715848225
 
0.1%
0.040000040135225
 
0.1%
0.066666756639922
 
0.1%
0.066666715848320
 
0.1%
Other values (38550)39649
99.2%
2025-10-28T21:31:56.287954image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0129131
22.0%
264552
11.0%
355427
9.5%
547453
 
8.1%
443674
 
7.4%
142742
 
7.3%
842076
 
7.2%
640174
 
6.9%
.39845
 
6.8%
739259
 
6.7%
Other values (22)41984
 
7.2%

Most occurring categories

ValueCountFrequency (%)
(unknown)586317
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0129131
22.0%
264552
11.0%
355427
9.5%
547453
 
8.1%
443674
 
7.4%
142742
 
7.3%
842076
 
7.2%
640174
 
6.9%
.39845
 
6.8%
739259
 
6.7%
Other values (22)41984
 
7.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown)586317
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0129131
22.0%
264552
11.0%
355427
9.5%
547453
 
8.1%
443674
 
7.4%
142742
 
7.3%
842076
 
7.2%
640174
 
6.9%
.39845
 
6.8%
739259
 
6.7%
Other values (22)41984
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown)586317
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0129131
22.0%
264552
11.0%
355427
9.5%
547453
 
8.1%
443674
 
7.4%
142742
 
7.3%
842076
 
7.2%
640174
 
6.9%
.39845
 
6.8%
739259
 
6.7%
Other values (22)41984
 
7.2%

LDA_02
Text

Missing 

Distinct39030
Distinct (%)97.7%
Missing483
Missing (%)1.2%
Memory size316.0 KiB
2025-10-28T21:31:56.522700image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length14.55177333
Min length1

Characters and Unicode

Total characters581387
Distinct characters30
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38295 ?
Unique (%)95.9%

Sample

1st row0.0400046751006
2nd row0.0500962518137
3rd row0.0333514249339
4th row0.49465082574
5th row0.0285751849112
ValueCountFrequency (%)
0.248
 
0.1%
invalid42
 
0.1%
36
 
0.1%
error33
 
0.1%
nan27
 
0.1%
0.02222226411175
 
< 0.1%
null5
 
< 0.1%
0.02000019138985
 
< 0.1%
0.020000191394
 
< 0.1%
0.02857146174523
 
< 0.1%
Other values (38935)39745
99.5%
2025-10-28T21:31:56.849899image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0121700
20.9%
260626
10.4%
354926
9.4%
547022
 
8.1%
843903
 
7.6%
143512
 
7.5%
442869
 
7.4%
641338
 
7.1%
740548
 
7.0%
940395
 
6.9%
Other values (20)44548
 
7.7%

Most occurring categories

ValueCountFrequency (%)
(unknown)581387
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0121700
20.9%
260626
10.4%
354926
9.4%
547022
 
8.1%
843903
 
7.6%
143512
 
7.5%
442869
 
7.4%
641338
 
7.1%
740548
 
7.0%
940395
 
6.9%
Other values (20)44548
 
7.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown)581387
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0121700
20.9%
260626
10.4%
354926
9.4%
547022
 
8.1%
843903
 
7.6%
143512
 
7.5%
442869
 
7.4%
641338
 
7.1%
740548
 
7.0%
940395
 
6.9%
Other values (20)44548
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown)581387
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0121700
20.9%
260626
10.4%
354926
9.4%
547022
 
8.1%
843903
 
7.6%
143512
 
7.5%
442869
 
7.4%
641338
 
7.1%
740548
 
7.0%
940395
 
6.9%
Other values (20)44548
 
7.7%

LDA_03
Text

Missing 

Distinct38558
Distinct (%)96.4%
Missing447
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:57.068113image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length14.57403286
Min length1

Characters and Unicode

Total characters582801
Distinct characters32
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37673 ?
Unique (%)94.2%

Sample

1st row0.0412626477296
2nd row0.0501006734234
3rd row0.0333335358046
4th row0.0289047184252
5th row0.028571675324
ValueCountFrequency (%)
0.066666688659155
 
0.1%
0.247
 
0.1%
error44
 
0.1%
invalid43
 
0.1%
38
 
0.1%
0.050000016988827
 
0.1%
0.040000014087826
 
0.1%
0.020000019923621
 
0.1%
0.050000149211720
 
0.1%
0.050000149211818
 
< 0.1%
Other values (38430)39650
99.2%
2025-10-28T21:31:57.376947image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0123989
21.3%
259773
10.3%
354207
9.3%
546792
 
8.0%
844063
 
7.6%
143332
 
7.4%
443212
 
7.4%
642625
 
7.3%
740544
 
7.0%
.39846
 
6.8%
Other values (22)44418
 
7.6%

Most occurring categories

ValueCountFrequency (%)
(unknown)582801
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0123989
21.3%
259773
10.3%
354207
9.3%
546792
 
8.0%
844063
 
7.6%
143332
 
7.4%
443212
 
7.4%
642625
 
7.3%
740544
 
7.0%
.39846
 
6.8%
Other values (22)44418
 
7.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown)582801
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0123989
21.3%
259773
10.3%
354207
9.3%
546792
 
8.0%
844063
 
7.6%
143332
 
7.4%
443212
 
7.4%
642625
 
7.3%
740544
 
7.0%
.39846
 
6.8%
Other values (22)44418
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown)582801
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0123989
21.3%
259773
10.3%
354207
9.3%
546792
 
8.0%
844063
 
7.6%
143332
 
7.4%
443212
 
7.4%
642625
 
7.3%
740544
 
7.0%
.39846
 
6.8%
Other values (22)44418
 
7.6%

LDA_04
Text

Missing 

Distinct38911
Distinct (%)97.3%
Missing456
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:57.650141image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length14.52648824
Min length1

Characters and Unicode

Total characters580769
Distinct characters30
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38104 ?
Unique (%)95.3%

Sample

1st row0.0401225435029
2nd row0.0500007119405
3rd row0.682188293744
4th row0.0285715975818
5th row0.885426777861
ValueCountFrequency (%)
0.250
 
0.1%
error45
 
0.1%
invalid37
 
0.1%
34
 
0.1%
nan25
 
0.1%
0.020000034304719
 
< 0.1%
0.04000016959369
 
< 0.1%
0.0666667060698
 
< 0.1%
0.04000002875566
 
< 0.1%
0.04000002875546
 
< 0.1%
Other values (38811)39741
99.4%
2025-10-28T21:31:58.010534image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0123577
21.3%
257667
9.9%
356461
9.7%
547024
 
8.1%
443679
 
7.5%
142726
 
7.4%
842298
 
7.3%
641559
 
7.2%
741159
 
7.1%
940177
 
6.9%
Other values (20)44442
 
7.7%

Most occurring categories

ValueCountFrequency (%)
(unknown)580769
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0123577
21.3%
257667
9.9%
356461
9.7%
547024
 
8.1%
443679
 
7.5%
142726
 
7.4%
842298
 
7.3%
641559
 
7.2%
741159
 
7.1%
940177
 
6.9%
Other values (20)44442
 
7.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown)580769
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0123577
21.3%
257667
9.9%
356461
9.7%
547024
 
8.1%
443679
 
7.5%
142726
 
7.4%
842298
 
7.3%
641559
 
7.2%
741159
 
7.1%
940177
 
6.9%
Other values (20)44442
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown)580769
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0123577
21.3%
257667
9.9%
356461
9.7%
547024
 
8.1%
443679
 
7.5%
142726
 
7.4%
842298
 
7.3%
641559
 
7.2%
741159
 
7.1%
940177
 
6.9%
Other values (20)44442
 
7.7%

global_subjectivity
Text

Missing 

Distinct34474
Distinct (%)86.2%
Missing437
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:58.216515image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length13.42871072
Min length1

Characters and Unicode

Total characters537135
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32053 ?
Unique (%)80.1%

Sample

1st row0.521617145481
2nd row0.341245791246
3rd row0.702222222222
4th row0.42984968735
5th row0.513502122877
ValueCountFrequency (%)
0.01187
 
3.0%
invalid44
 
0.1%
37
 
0.1%
error36
 
0.1%
0.536
 
0.1%
0.4526
 
0.1%
0.51666666666725
 
0.1%
0.5524
 
0.1%
0.424
 
0.1%
0.43333333333323
 
0.1%
Other values (34119)38537
96.3%
2025-10-28T21:31:58.774870image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
076107
14.2%
459187
11.0%
352178
9.7%
551505
9.6%
645594
8.5%
242799
8.0%
742043
7.8%
141947
7.8%
841891
7.8%
.39857
7.4%
Other values (23)44027
8.2%

Most occurring categories

ValueCountFrequency (%)
(unknown)537135
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
076107
14.2%
459187
11.0%
352178
9.7%
551505
9.6%
645594
8.5%
242799
8.0%
742043
7.8%
141947
7.8%
841891
7.8%
.39857
7.4%
Other values (23)44027
8.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown)537135
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
076107
14.2%
459187
11.0%
352178
9.7%
551505
9.6%
645594
8.5%
242799
8.0%
742043
7.8%
141947
7.8%
841891
7.8%
.39857
7.4%
Other values (23)44027
8.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown)537135
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
076107
14.2%
459187
11.0%
352178
9.7%
551505
9.6%
645594
8.5%
242799
8.0%
742043
7.8%
141947
7.8%
841891
7.8%
.39857
7.4%
Other values (23)44027
8.2%
Distinct34606
Distinct (%)86.5%
Missing440
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:58.990623image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length13.85216022
Min length1

Characters and Unicode

Total characters554031
Distinct characters29
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32285 ?
Unique (%)80.7%

Sample

1st row112.0925619834711
2nd row0.148947811448
3rd row0.323333333333
4th row0.100704665705
5th row0.281003475691
ValueCountFrequency (%)
0.01198
 
3.0%
43
 
0.1%
invalid43
 
0.1%
error41
 
0.1%
0.1533
 
0.1%
0.131
 
0.1%
0.2529
 
0.1%
0.12527
 
0.1%
0.227
 
0.1%
0.16666666666726
 
0.1%
Other values (33819)38498
96.3%
2025-10-28T21:31:59.301191image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
092641
16.7%
159581
10.8%
248599
8.8%
347218
8.5%
645526
8.2%
543779
7.9%
743500
7.9%
442855
7.7%
842282
7.6%
940270
7.3%
Other values (19)47780
8.6%

Most occurring categories

ValueCountFrequency (%)
(unknown)554031
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
092641
16.7%
159581
10.8%
248599
8.8%
347218
8.5%
645526
8.2%
543779
7.9%
743500
7.9%
442855
7.7%
842282
7.6%
940270
7.3%
Other values (19)47780
8.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown)554031
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
092641
16.7%
159581
10.8%
248599
8.8%
347218
8.5%
645526
8.2%
543779
7.9%
743500
7.9%
442855
7.7%
842282
7.6%
940270
7.3%
Other values (19)47780
8.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown)554031
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
092641
16.7%
159581
10.8%
248599
8.8%
347218
8.5%
645526
8.2%
543779
7.9%
743500
7.9%
442855
7.7%
842282
7.6%
940270
7.3%
Other values (19)47780
8.6%
Distinct14511
Distinct (%)36.3%
Missing445
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:31:59.480860image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length14.34837839
Min length1

Characters and Unicode

Total characters573806
Distinct characters32
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9022 ?
Unique (%)22.6%

Sample

1st row0.0456621004566
2nd row0.043137254902
3rd row0.0568720379147
4th row0.0414312617702
5th row0.0746268656716
ValueCountFrequency (%)
0.01218
 
3.0%
0.0416666666667120
 
0.3%
0.0454545454545118
 
0.3%
0.04115
 
0.3%
0.0434782608696110
 
0.3%
0.0384615384615109
 
0.3%
0.05105
 
0.3%
0.0357142857143102
 
0.3%
0.034482758620798
 
0.2%
0.04761904761993
 
0.2%
Other values (13353)37803
94.5%
2025-10-28T21:31:59.769452image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0115967
20.2%
351714
9.0%
451274
8.9%
548984
8.5%
248701
8.5%
645541
 
7.9%
144061
 
7.7%
743328
 
7.6%
841593
 
7.2%
.39861
 
6.9%
Other values (22)42782
 
7.5%

Most occurring categories

ValueCountFrequency (%)
(unknown)573806
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0115967
20.2%
351714
9.0%
451274
8.9%
548984
8.5%
248701
8.5%
645541
 
7.9%
144061
 
7.7%
743328
 
7.6%
841593
 
7.2%
.39861
 
6.9%
Other values (22)42782
 
7.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown)573806
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0115967
20.2%
351714
9.0%
451274
8.9%
548984
8.5%
248701
8.5%
645541
 
7.9%
144061
 
7.7%
743328
 
7.6%
841593
 
7.2%
.39861
 
6.9%
Other values (22)42782
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown)573806
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0115967
20.2%
351714
9.0%
451274
8.9%
548984
8.5%
248701
8.5%
645541
 
7.9%
144061
 
7.7%
743328
 
7.6%
841593
 
7.2%
.39861
 
6.9%
Other values (22)42782
 
7.5%
Distinct11669
Distinct (%)29.2%
Missing488
Missing (%)1.2%
Memory size316.0 KiB
2025-10-28T21:31:59.959627image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length14.20363973
Min length1

Characters and Unicode

Total characters567407
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6868 ?
Unique (%)17.2%

Sample

1st row0.013698630137
2nd row0.0156862745098
3rd row0.00947867298578
4th row0.0207156308851
5th row0.0121268656716
ValueCountFrequency (%)
0.02533
 
6.3%
0.020408163265387
 
0.2%
0.017241379310382
 
0.2%
0.019230769230881
 
0.2%
0.022222222222279
 
0.2%
0.014492753623277
 
0.2%
0.01587301587376
 
0.2%
0.015384615384676
 
0.2%
0.018181818181876
 
0.2%
0.021739130434875
 
0.2%
Other values (10508)36706
91.9%
2025-10-28T21:32:00.251697image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0123174
21.7%
159180
10.4%
251180
9.0%
344297
 
7.8%
542534
 
7.5%
641879
 
7.4%
441661
 
7.3%
841456
 
7.3%
739962
 
7.0%
.39790
 
7.0%
Other values (23)42294
 
7.5%

Most occurring categories

ValueCountFrequency (%)
(unknown)567407
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0123174
21.7%
159180
10.4%
251180
9.0%
344297
 
7.8%
542534
 
7.5%
641879
 
7.4%
441661
 
7.3%
841456
 
7.3%
739962
 
7.0%
.39790
 
7.0%
Other values (23)42294
 
7.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown)567407
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0123174
21.7%
159180
10.4%
251180
9.0%
344297
 
7.8%
542534
 
7.5%
641879
 
7.4%
441661
 
7.3%
841456
 
7.3%
739962
 
7.0%
.39790
 
7.0%
Other values (23)42294
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown)567407
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0123174
21.7%
159180
10.4%
251180
9.0%
344297
 
7.8%
542534
 
7.5%
641879
 
7.4%
441661
 
7.3%
841456
 
7.3%
739962
 
7.0%
.39790
 
7.0%
Other values (23)42294
 
7.5%

rate_positive_words
Text

Missing 

Distinct3172
Distinct (%)7.9%
Missing453
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:32:00.473433image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length11.11259785
Min length1

Characters and Unicode

Total characters444315
Distinct characters25
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1605 ?
Unique (%)4.0%

Sample

1st row0.769230769231
2nd row0.733333333333
3rd row0.857142857143
4th row0.666666666667
5th row0.860215053763
ValueCountFrequency (%)
0.6666666666671590
 
4.0%
1.01353
 
3.4%
0.751300
 
3.3%
0.01223
 
3.1%
0.51123
 
2.8%
0.81031
 
2.6%
0.714285714286769
 
1.9%
0.833333333333743
 
1.9%
0.6722
 
1.8%
0.857142857143579
 
1.4%
Other values (2670)29550
73.9%
2025-10-28T21:32:00.779548image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
056996
12.8%
655994
12.6%
747151
10.6%
344539
10.0%
839901
9.0%
.39840
9.0%
539301
8.8%
131930
7.2%
231584
7.1%
431312
7.0%
Other values (15)25767
5.8%

Most occurring categories

ValueCountFrequency (%)
(unknown)444315
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
056996
12.8%
655994
12.6%
747151
10.6%
344539
10.0%
839901
9.0%
.39840
9.0%
539301
8.8%
131930
7.2%
231584
7.1%
431312
7.0%
Other values (15)25767
5.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown)444315
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
056996
12.8%
655994
12.6%
747151
10.6%
344539
10.0%
839901
9.0%
.39840
9.0%
539301
8.8%
131930
7.2%
231584
7.1%
431312
7.0%
Other values (15)25767
5.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown)444315
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
056996
12.8%
655994
12.6%
747151
10.6%
344539
10.0%
839901
9.0%
.39840
9.0%
539301
8.8%
131930
7.2%
231584
7.1%
431312
7.0%
Other values (15)25767
5.8%

rate_negative_words
Text

Missing 

Distinct3158
Distinct (%)7.9%
Missing480
Missing (%)1.2%
Memory size316.0 KiB
2025-10-28T21:32:00.980919image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length11.13762639
Min length1

Characters and Unicode

Total characters445015
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1609 ?
Unique (%)4.0%

Sample

1st row0.230769230769
2nd row0.266666666667
3rd row0.142857142857
4th row0.333333333333
5th row0.139784946237
ValueCountFrequency (%)
0.02539
 
6.4%
0.3333333333331589
 
4.0%
0.251301
 
3.3%
0.51138
 
2.8%
0.21033
 
2.6%
0.285714285714765
 
1.9%
0.166666666667741
 
1.9%
0.4726
 
1.8%
0.142857142857580
 
1.5%
0.222222222222562
 
1.4%
Other values (2658)28982
72.5%
2025-10-28T21:32:01.285986image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
060121
13.5%
357243
12.9%
246213
10.4%
642746
9.6%
.39814
8.9%
139471
8.9%
535615
8.0%
435548
8.0%
734093
7.7%
830276
6.8%
Other values (23)23875
 
5.4%

Most occurring categories

ValueCountFrequency (%)
(unknown)445015
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
060121
13.5%
357243
12.9%
246213
10.4%
642746
9.6%
.39814
8.9%
139471
8.9%
535615
8.0%
435548
8.0%
734093
7.7%
830276
6.8%
Other values (23)23875
 
5.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown)445015
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
060121
13.5%
357243
12.9%
246213
10.4%
642746
9.6%
.39814
8.9%
139471
8.9%
535615
8.0%
435548
8.0%
734093
7.7%
830276
6.8%
Other values (23)23875
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown)445015
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
060121
13.5%
357243
12.9%
246213
10.4%
642746
9.6%
.39814
8.9%
139471
8.9%
535615
8.0%
435548
8.0%
734093
7.7%
830276
6.8%
Other values (23)23875
 
5.4%

avg_positive_polarity
Text

Missing 

Distinct27693
Distinct (%)69.3%
Missing458
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:32:01.505497image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length12.93551453
Min length1

Characters and Unicode

Total characters517136
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24112 ?
Unique (%)60.3%

Sample

1st row0.378636363636
2nd row0.286914600551
3rd row0.495833333333
4th row0.385965171192
5th row0.411127435065
ValueCountFrequency (%)
0.01216
 
3.0%
0.5199
 
0.5%
0.4150
 
0.4%
0.35114
 
0.3%
0.375105
 
0.3%
0.3102
 
0.3%
0.45100
 
0.3%
0.36666666666781
 
0.2%
0.43333333333373
 
0.2%
0.2568
 
0.2%
Other values (27076)37770
94.5%
2025-10-28T21:32:01.821239image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
073131
14.1%
364774
12.5%
447883
9.3%
246266
8.9%
644888
8.7%
541454
8.0%
740852
7.9%
.39833
7.7%
139539
7.6%
838145
7.4%
Other values (23)40371
7.8%

Most occurring categories

ValueCountFrequency (%)
(unknown)517136
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
073131
14.1%
364774
12.5%
447883
9.3%
246266
8.9%
644888
8.7%
541454
8.0%
740852
7.9%
.39833
7.7%
139539
7.6%
838145
7.4%
Other values (23)40371
7.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown)517136
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
073131
14.1%
364774
12.5%
447883
9.3%
246266
8.9%
644888
8.7%
541454
8.0%
740852
7.9%
.39833
7.7%
139539
7.6%
838145
7.4%
Other values (23)40371
7.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown)517136
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
073131
14.1%
364774
12.5%
447883
9.3%
246266
8.9%
644888
8.7%
541454
8.0%
740852
7.9%
.39833
7.7%
139539
7.6%
838145
7.4%
Other values (23)40371
7.8%

min_positive_polarity
Text

Missing 

Distinct415
Distinct (%)1.0%
Missing483
Missing (%)1.2%
Memory size316.0 KiB
2025-10-28T21:32:01.962827image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length7.126273371
Min length1

Characters and Unicode

Total characters284716
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique320 ?
Unique (%)0.8%

Sample

1st row0.1
2nd row37445.46666666667
3rd row0.1
4th row0.136363636364
5th row0.0333333333333
ValueCountFrequency (%)
0.115337
38.4%
0.03333333333337366
18.4%
0.054377
 
11.0%
0.1363636363644050
 
10.1%
0.06252780
 
7.0%
0.21376
 
3.4%
0.01218
 
3.0%
0.25637
 
1.6%
0.166666666667510
 
1.3%
0.16407
 
1.0%
Other values (372)1895
 
4.7%
2025-10-28T21:32:02.183104image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3112252
39.4%
055996
19.7%
.39803
 
14.0%
629244
 
10.3%
121166
 
7.4%
58908
 
3.1%
25628
 
2.0%
44853
 
1.7%
4064
 
1.4%
71147
 
0.4%
Other values (23)1655
 
0.6%

Most occurring categories

ValueCountFrequency (%)
(unknown)284716
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3112252
39.4%
055996
19.7%
.39803
 
14.0%
629244
 
10.3%
121166
 
7.4%
58908
 
3.1%
25628
 
2.0%
44853
 
1.7%
4064
 
1.4%
71147
 
0.4%
Other values (23)1655
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown)284716
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3112252
39.4%
055996
19.7%
.39803
 
14.0%
629244
 
10.3%
121166
 
7.4%
58908
 
3.1%
25628
 
2.0%
44853
 
1.7%
4064
 
1.4%
71147
 
0.4%
Other values (23)1655
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown)284716
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3112252
39.4%
055996
19.7%
.39803
 
14.0%
629244
 
10.3%
121166
 
7.4%
58908
 
3.1%
25628
 
2.0%
44853
 
1.7%
4064
 
1.4%
71147
 
0.4%
Other values (23)1655
 
0.6%

max_positive_polarity
Text

Missing 

Distinct402
Distinct (%)1.0%
Missing457
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:32:02.310984image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length18
Median length3
Mean length3.286425373
Min length1

Characters and Unicode

Total characters131388
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique298 ?
Unique (%)0.7%

Sample

1st row0.7
2nd row0.7
3rd row1.0
4th row0.8
5th row1.0
ValueCountFrequency (%)
1.014712
36.8%
0.56609
16.5%
0.85593
 
14.0%
0.64110
 
10.3%
0.73124
 
7.8%
0.01220
 
3.1%
0.91120
 
2.8%
0.75714
 
1.8%
0.85670
 
1.7%
0.4451
 
1.1%
Other values (363)1656
 
4.1%
2025-10-28T21:32:02.522398image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
041089
31.3%
.39832
30.3%
115141
 
11.5%
58936
 
6.8%
86534
 
5.0%
65567
 
4.2%
74366
 
3.3%
3912
 
3.0%
32607
 
2.0%
91409
 
1.1%
Other values (23)1995
 
1.5%

Most occurring categories

ValueCountFrequency (%)
(unknown)131388
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
041089
31.3%
.39832
30.3%
115141
 
11.5%
58936
 
6.8%
86534
 
5.0%
65567
 
4.2%
74366
 
3.3%
3912
 
3.0%
32607
 
2.0%
91409
 
1.1%
Other values (23)1995
 
1.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown)131388
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
041089
31.3%
.39832
30.3%
115141
 
11.5%
58936
 
6.8%
86534
 
5.0%
65567
 
4.2%
74366
 
3.3%
3912
 
3.0%
32607
 
2.0%
91409
 
1.1%
Other values (23)1995
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown)131388
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
041089
31.3%
.39832
30.3%
115141
 
11.5%
58936
 
6.8%
86534
 
5.0%
65567
 
4.2%
74366
 
3.3%
3912
 
3.0%
32607
 
2.0%
91409
 
1.1%
Other values (23)1995
 
1.5%

avg_negative_polarity
Text

Missing 

Distinct14718
Distinct (%)36.8%
Missing461
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:32:02.751724image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length12.25333333
Min length1

Characters and Unicode

Total characters489827
Distinct characters34
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10990 ?
Unique (%)27.5%

Sample

1st row-0.35
2nd row-0.11875
3rd row-0.466666666667
4th row-0.369696969697
5th row-0.220192307692
ValueCountFrequency (%)
0.02536
 
6.3%
0.125501
 
1.3%
0.4440
 
1.1%
0.2436
 
1.1%
0.25407
 
1.0%
0.3389
 
1.0%
0.166666666667387
 
1.0%
0.5326
 
0.8%
0.1294
 
0.7%
0.15218
 
0.5%
Other values (13966)34041
85.2%
2025-10-28T21:32:03.098846image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
061744
12.6%
357757
11.8%
646869
9.6%
245023
9.2%
140311
8.2%
.39830
8.1%
-37091
7.6%
536728
7.5%
733648
6.9%
832178
6.6%
Other values (24)58648
12.0%

Most occurring categories

ValueCountFrequency (%)
(unknown)489827
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
061744
12.6%
357757
11.8%
646869
9.6%
245023
9.2%
140311
8.2%
.39830
8.1%
-37091
7.6%
536728
7.5%
733648
6.9%
832178
6.6%
Other values (24)58648
12.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown)489827
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
061744
12.6%
357757
11.8%
646869
9.6%
245023
9.2%
140311
8.2%
.39830
8.1%
-37091
7.6%
536728
7.5%
733648
6.9%
832178
6.6%
Other values (24)58648
12.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown)489827
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
061744
12.6%
357757
11.8%
646869
9.6%
245023
9.2%
140311
8.2%
.39830
8.1%
-37091
7.6%
536728
7.5%
733648
6.9%
832178
6.6%
Other values (24)58648
12.0%

min_negative_polarity
Text

Missing 

Distinct466
Distinct (%)1.2%
Missing460
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:32:03.262402image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length20
Median length4
Mean length5.174954973
Min length1

Characters and Unicode

Total characters206874
Distinct characters34
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique354 ?
Unique (%)0.9%

Sample

1st row-0.6
2nd row-0.125
3rd row-0.8
4th row-0.6
5th rowerror
ValueCountFrequency (%)
0.56847
17.1%
1.05527
13.8%
0.43916
9.8%
0.63714
9.3%
0.83034
7.6%
0.72590
 
6.5%
0.02535
 
6.3%
0.31883
 
4.7%
0.21478
 
3.7%
0.251285
 
3.2%
Other values (414)7167
17.9%
2025-10-28T21:32:03.512305image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
042729
20.7%
.39832
19.3%
-37087
17.9%
623477
11.3%
514446
 
7.0%
310744
 
5.2%
110113
 
4.9%
76444
 
3.1%
85835
 
2.8%
25445
 
2.6%
Other values (24)10722
 
5.2%

Most occurring categories

ValueCountFrequency (%)
(unknown)206874
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
042729
20.7%
.39832
19.3%
-37087
17.9%
623477
11.3%
514446
 
7.0%
310744
 
5.2%
110113
 
4.9%
76444
 
3.1%
85835
 
2.8%
25445
 
2.6%
Other values (24)10722
 
5.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown)206874
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
042729
20.7%
.39832
19.3%
-37087
17.9%
623477
11.3%
514446
 
7.0%
310744
 
5.2%
110113
 
4.9%
76444
 
3.1%
85835
 
2.8%
25445
 
2.6%
Other values (24)10722
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown)206874
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
042729
20.7%
.39832
19.3%
-37087
17.9%
623477
11.3%
514446
 
7.0%
310744
 
5.2%
110113
 
4.9%
76444
 
3.1%
85835
 
2.8%
25445
 
2.6%
Other values (24)10722
 
5.2%

max_negative_polarity
Text

Missing 

Distinct428
Distinct (%)1.1%
Missing440
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:32:03.652226image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length6.830608061
Min length1

Characters and Unicode

Total characters273197
Distinct characters34
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique304 ?
Unique (%)0.8%

Sample

1st row-3.4000000000000004
2nd row-0.1
3rd row-0.133333333333
4th row-0.166666666667
5th row-0.05
ValueCountFrequency (%)
0.059897
24.7%
0.18798
22.0%
0.1255351
13.4%
0.07142857142862593
 
6.5%
0.02546
 
6.4%
0.1666666666671757
 
4.4%
0.21193
 
3.0%
0.1555555555561185
 
3.0%
0.025685
 
1.7%
0.1875615
 
1.5%
Other values (376)5376
13.4%
2025-10-28T21:32:03.869697image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
057858
21.2%
.39863
14.6%
-37134
13.6%
533377
12.2%
626018
9.5%
124732
9.1%
214061
 
5.1%
312741
 
4.7%
79021
 
3.3%
86892
 
2.5%
Other values (24)11500
 
4.2%

Most occurring categories

ValueCountFrequency (%)
(unknown)273197
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
057858
21.2%
.39863
14.6%
-37134
13.6%
533377
12.2%
626018
9.5%
124732
9.1%
214061
 
5.1%
312741
 
4.7%
79021
 
3.3%
86892
 
2.5%
Other values (24)11500
 
4.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown)273197
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
057858
21.2%
.39863
14.6%
-37134
13.6%
533377
12.2%
626018
9.5%
124732
9.1%
214061
 
5.1%
312741
 
4.7%
79021
 
3.3%
86892
 
2.5%
Other values (24)11500
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown)273197
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
057858
21.2%
.39863
14.6%
-37134
13.6%
533377
12.2%
626018
9.5%
124732
9.1%
214061
 
5.1%
312741
 
4.7%
79021
 
3.3%
86892
 
2.5%
Other values (24)11500
 
4.2%

title_subjectivity
Text

Missing 

Distinct1120
Distinct (%)2.8%
Missing453
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:32:04.119702image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length18
Median length3
Mean length5.095615637
Min length1

Characters and Unicode

Total characters203738
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique663 ?
Unique (%)1.7%

Sample

1st row0.5
2nd row0.0
3rd row0.0
4th row0.0
5th row0.454545454545
ValueCountFrequency (%)
0.018011
45.0%
0.52626
 
6.6%
1.02506
 
6.3%
0.41345
 
3.4%
0.4545454545451142
 
2.9%
0.3931
 
2.3%
0.1776
 
1.9%
0.2693
 
1.7%
0.6626
 
1.6%
0.333333333333626
 
1.6%
Other values (972)10701
26.8%
2025-10-28T21:32:04.473315image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
059243
29.1%
.39835
19.6%
321827
 
10.7%
618546
 
9.1%
516622
 
8.2%
412467
 
6.1%
78967
 
4.4%
27191
 
3.5%
16724
 
3.3%
85441
 
2.7%
Other values (23)6875
 
3.4%

Most occurring categories

ValueCountFrequency (%)
(unknown)203738
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
059243
29.1%
.39835
19.6%
321827
 
10.7%
618546
 
9.1%
516622
 
8.2%
412467
 
6.1%
78967
 
4.4%
27191
 
3.5%
16724
 
3.3%
85441
 
2.7%
Other values (23)6875
 
3.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown)203738
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
059243
29.1%
.39835
19.6%
321827
 
10.7%
618546
 
9.1%
516622
 
8.2%
412467
 
6.1%
78967
 
4.4%
27191
 
3.5%
16724
 
3.3%
85441
 
2.7%
Other values (23)6875
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown)203738
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
059243
29.1%
.39835
19.6%
321827
 
10.7%
618546
 
9.1%
516622
 
8.2%
412467
 
6.1%
78967
 
4.4%
27191
 
3.5%
16724
 
3.3%
85441
 
2.7%
Other values (23)6875
 
3.4%
Distinct1228
Distinct (%)3.1%
Missing486
Missing (%)1.2%
Memory size316.0 KiB
2025-10-28T21:32:04.692842image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length22
Median length3
Mean length5.117121402
Min length1

Characters and Unicode

Total characters204429
Distinct characters34
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique699 ?
Unique (%)1.7%

Sample

1st row-0.1875
2nd row0.0
3rd row0.0
4th row0.0
5th row0.136363636364
ValueCountFrequency (%)
0.019896
49.8%
0.52648
 
6.6%
0.251422
 
3.6%
0.1363636363641363
 
3.4%
0.21283
 
3.2%
0.11270
 
3.2%
0.41118
 
2.8%
1.0726
 
1.8%
0.3694
 
1.7%
0.125572
 
1.4%
Other values (907)8958
22.4%
2025-10-28T21:32:04.994823image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
062653
30.6%
.39809
19.5%
322614
 
11.1%
619459
 
9.5%
112313
 
6.0%
511841
 
5.8%
27399
 
3.6%
86824
 
3.3%
-5801
 
2.8%
45459
 
2.7%
Other values (24)10257
 
5.0%

Most occurring categories

ValueCountFrequency (%)
(unknown)204429
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
062653
30.6%
.39809
19.5%
322614
 
11.1%
619459
 
9.5%
112313
 
6.0%
511841
 
5.8%
27399
 
3.6%
86824
 
3.3%
-5801
 
2.8%
45459
 
2.7%
Other values (24)10257
 
5.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown)204429
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
062653
30.6%
.39809
19.5%
322614
 
11.1%
619459
 
9.5%
112313
 
6.0%
511841
 
5.8%
27399
 
3.6%
86824
 
3.3%
-5801
 
2.8%
45459
 
2.7%
Other values (24)10257
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown)204429
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
062653
30.6%
.39809
19.5%
322614
 
11.1%
619459
 
9.5%
112313
 
6.0%
511841
 
5.8%
27399
 
3.6%
86824
 
3.3%
-5801
 
2.8%
45459
 
2.7%
Other values (24)10257
 
5.0%
Distinct989
Distinct (%)2.5%
Missing475
Missing (%)1.2%
Memory size316.0 KiB
2025-10-28T21:32:05.196039image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length20
Median length3
Mean length5.15400015
Min length1

Characters and Unicode

Total characters205959
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique591 ?
Unique (%)1.5%

Sample

1st row0.0
2nd row0.5
3rd row0.5
4th row0.5
5th row0.0454545454545
ValueCountFrequency (%)
0.520421
51.1%
0.02645
 
6.6%
0.11964
 
4.9%
0.21473
 
3.7%
0.41388
 
3.5%
0.04545454545451149
 
2.9%
0.31007
 
2.5%
0.1666666666671006
 
2.5%
0.25881
 
2.2%
0.125510
 
1.3%
Other values (854)7517
 
18.8%
2025-10-28T21:32:05.502327image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
046780
22.7%
.39808
19.3%
534224
16.6%
318999
9.2%
618454
 
9.0%
411711
 
5.7%
110269
 
5.0%
29605
 
4.7%
77670
 
3.7%
4106
 
2.0%
Other values (23)4333
 
2.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)205959
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
046780
22.7%
.39808
19.3%
534224
16.6%
318999
9.2%
618454
 
9.0%
411711
 
5.7%
110269
 
5.0%
29605
 
4.7%
77670
 
3.7%
4106
 
2.0%
Other values (23)4333
 
2.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)205959
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
046780
22.7%
.39808
19.3%
534224
16.6%
318999
9.2%
618454
 
9.0%
411711
 
5.7%
110269
 
5.0%
29605
 
4.7%
77670
 
3.7%
4106
 
2.0%
Other values (23)4333
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)205959
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
046780
22.7%
.39808
19.3%
534224
16.6%
318999
9.2%
618454
 
9.0%
411711
 
5.7%
110269
 
5.0%
29605
 
4.7%
77670
 
3.7%
4106
 
2.0%
Other values (23)4333
 
2.1%
Distinct1062
Distinct (%)2.7%
Missing455
Missing (%)1.1%
Memory size316.0 KiB
2025-10-28T21:32:05.730906image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length22
Median length3
Mean length4.974637953
Min length1

Characters and Unicode

Total characters198891
Distinct characters34
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique628 ?
Unique (%)1.6%

Sample

1st row0.1875
2nd row0.0
3rd row0.0
4th row0.136363636364
5th row0.214285714286
ValueCountFrequency (%)
0.019925
49.8%
0.52654
 
6.6%
0.251427
 
3.6%
0.1363636363641366
 
3.4%
0.21290
 
3.2%
0.11259
 
3.1%
0.41110
 
2.8%
1.0714
 
1.8%
0.3693
 
1.7%
0.125575
 
1.4%
Other values (915)8968
22.4%
2025-10-28T21:32:06.044190image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
062633
31.5%
.39824
20.0%
322579
 
11.4%
619510
 
9.8%
112323
 
6.2%
511797
 
5.9%
27392
 
3.7%
86843
 
3.4%
45466
 
2.7%
74611
 
2.3%
Other values (24)5913
 
3.0%

Most occurring categories

ValueCountFrequency (%)
(unknown)198891
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
062633
31.5%
.39824
20.0%
322579
 
11.4%
619510
 
9.8%
112323
 
6.2%
511797
 
5.9%
27392
 
3.7%
86843
 
3.4%
45466
 
2.7%
74611
 
2.3%
Other values (24)5913
 
3.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown)198891
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
062633
31.5%
.39824
20.0%
322579
 
11.4%
619510
 
9.8%
112323
 
6.2%
511797
 
5.9%
27392
 
3.7%
86843
 
3.4%
45466
 
2.7%
74611
 
2.3%
Other values (24)5913
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown)198891
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
062633
31.5%
.39824
20.0%
322579
 
11.4%
619510
 
9.8%
112323
 
6.2%
511797
 
5.9%
27392
 
3.7%
86843
 
3.4%
45466
 
2.7%
74611
 
2.3%
Other values (24)5913
 
3.0%

shares
Text

Missing 

Distinct2311
Distinct (%)5.8%
Missing487
Missing (%)1.2%
Memory size316.0 KiB
2025-10-28T21:32:06.380143image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length10
Median length6
Mean length5.878119602
Min length1

Characters and Unicode

Total characters234825
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique995 ?
Unique (%)2.5%

Sample

1st row593.0
2nd row711.0
3rd row1500.0
4th row1200.0
5th row505.0
ValueCountFrequency (%)
1100.02293
 
5.7%
1200.02015
 
5.0%
1300.01722
 
4.3%
1400.01584
 
4.0%
1500.01308
 
3.3%
1000.01160
 
2.9%
1600.01132
 
2.8%
1700.01003
 
2.5%
1800.0880
 
2.2%
1900.0810
 
2.0%
Other values (1784)26042
65.2%
2025-10-28T21:32:06.791092image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0102253
43.5%
.39805
 
17.0%
122121
 
9.4%
211958
 
5.1%
38646
 
3.7%
47740
 
3.3%
77723
 
3.3%
87628
 
3.2%
97461
 
3.2%
57446
 
3.2%
Other values (23)12044
 
5.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)234825
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0102253
43.5%
.39805
 
17.0%
122121
 
9.4%
211958
 
5.1%
38646
 
3.7%
47740
 
3.3%
77723
 
3.3%
87628
 
3.2%
97461
 
3.2%
57446
 
3.2%
Other values (23)12044
 
5.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)234825
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0102253
43.5%
.39805
 
17.0%
122121
 
9.4%
211958
 
5.1%
38646
 
3.7%
47740
 
3.3%
77723
 
3.3%
87628
 
3.2%
97461
 
3.2%
57446
 
3.2%
Other values (23)12044
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)234825
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0102253
43.5%
.39805
 
17.0%
122121
 
9.4%
211958
 
5.1%
38646
 
3.7%
47740
 
3.3%
77723
 
3.3%
87628
 
3.2%
97461
 
3.2%
57446
 
3.2%
Other values (23)12044
 
5.1%

mixed_type_col
Text

Missing 

Distinct1002
Distinct (%)2.8%
Missing4074
Missing (%)10.1%
Memory size316.0 KiB
2025-10-28T21:32:07.141342image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.357378582
Min length1

Characters and Unicode

Total characters122081
Distinct characters18
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowbad
2nd row639
3rd rowunknown
4th row688
5th row579
ValueCountFrequency (%)
unknown4034
 
11.1%
bad3949
 
10.9%
27247
 
0.1%
68846
 
0.1%
82144
 
0.1%
17543
 
0.1%
88043
 
0.1%
23643
 
0.1%
81643
 
0.1%
55442
 
0.1%
Other values (992)28028
77.1%
2025-10-28T21:32:07.577990image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n12102
 
9.9%
38598
 
7.0%
58581
 
7.0%
88571
 
7.0%
18551
 
7.0%
78538
 
7.0%
48538
 
7.0%
68538
 
7.0%
28427
 
6.9%
98307
 
6.8%
Other values (8)33330
27.3%

Most occurring categories

ValueCountFrequency (%)
(unknown)122081
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n12102
 
9.9%
38598
 
7.0%
58581
 
7.0%
88571
 
7.0%
18551
 
7.0%
78538
 
7.0%
48538
 
7.0%
68538
 
7.0%
28427
 
6.9%
98307
 
6.8%
Other values (8)33330
27.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown)122081
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n12102
 
9.9%
38598
 
7.0%
58581
 
7.0%
88571
 
7.0%
18551
 
7.0%
78538
 
7.0%
48538
 
7.0%
68538
 
7.0%
28427
 
6.9%
98307
 
6.8%
Other values (8)33330
27.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown)122081
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n12102
 
9.9%
38598
 
7.0%
58581
 
7.0%
88571
 
7.0%
18551
 
7.0%
78538
 
7.0%
48538
 
7.0%
68538
 
7.0%
28427
 
6.9%
98307
 
6.8%
Other values (8)33330
27.3%